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IDBS helps BioPharma organizations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies1, IDBS delivers powerful cloud software and services specifically designed to meet the evolving needs of the BioPharma sector. IDBS, a Danaher company, leverages 35 years of scientific informatics expertise to help organizations design, execute and orchestrate processes, manage, contextualize and structure data and gain valuable insights throughout the product lifecycle, from R&D through manufacturing. Known for its signature IDBS E-WorkBook software, IDBS has extended its flexible, scalable solutions to the IDBS Polar and PIMS cloud platforms to help scientists make smarter decisions with assured confidence in both GxP and non-GxP environments. Do you want to work in an agile feature team? Do you enjoy working with cloud based technologies using an automation first approach? We are currently seeking a Software Test Engineer who will be responsible for contributing to the testing activities through the lifecycle of a ticket from refinement to testing signoff, following a risk based testing approach. What you will be doing: Working in an Agile software team to create and review Test Plans and Test Scripts for User Stories, Business Requirements or System Requirements. Contributing to the team activities, including hands-on execution of testing, both manual and automated (using tools such as Robot Framework, Cypress, Playwright and JMeter), ensuring repeatable and verifiable test records. Proactively developing your skills, identifying areas for improvement that align with company strategy and your own career aspirations and undertaking required training activities. Here is what success in this role looks like: The ability to independently analyse a system, requirement or problem and produce a high quality, effective testing approach and set of test scripts. Experience with software development tools and methodologies (such as GitHub, Jenkins, JIRA, Scrum, Scrumban, Kanban). A passion for technology and an interest in learning more about Jenkins, CI/CD and cloud based technologies. It would be a plus if you also possess previous experience in: ISTQB Foundation in Software Testing (or equivalent) qualification, but we're open to finding someone passionate about testing and looking for their next opportunity within the industry. A background and interest in Science, due to the nature of our software. At IDBS we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a flexible work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for IDBS can provide. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualified with at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work, successful candidates for this role will be required to go through Government SC clearance prior to starting with us. Security Vetting and Clearance Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

Senior Theoretical Scientist page is loaded Senior Theoretical Scientist If you'd like to be considered for this opportunity we encourage you to apply promptly to avoid disappointment as if applications are high the role will close before the closing date given. Senior Theoretical Scientist Closing Date: 23rd April 2025 Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking. Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Package: £46,130 - £65,000 per annum (depending on your suitability, qualifications, and level of experience) A relocation package may be available (terms and conditions apply). Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE have an exciting opportunity for a Senior Theoretical Scientist to exercise and improve capability in understanding nuclear warhead effects and environments in support of the UK's nuclear deterrent - Trident - and national nuclear security projects through theoretical research, model development and assessment. This role will sit within the Collateral Effects team of the Systems Assessment Group (SAG) within our Physics function. The Systems Assessment Group (SAG) is a multi-discipline group that provides mission effectiveness and weapon effects assessments to AWE and our government stakeholders. SAG also contributes to a range of capabilities in support of the UK's national nuclear security and treaty verification requirements. SAG undertakes fundamental scientific research, experimental trials, software model development, and operational analysis to provide strategic answers directly into our customer community. The Collateral Effects team's primary role within SAG is studying the physical effects of nuclear detonations and their impact on people, populations, and infrastructure. To support this work the team is directly involved in evaluation and assessment of computational models, low- and high-fidelity software model development, data analysis, software validation and verification (V&V), and stakeholder engagement across AWE and with other UK and international partners. A successful candidate will be involved with software assessment and ongoing model development work in one or more of the following: atmospheric science, debris/particle formation, physical injury/trauma, nuclear/radiation physics, using computational models, and ongoing code development. Key Responsibilities: Planning and delivery of technical assessments using appropriate methodologies Planning and delivery of technical briefings to non-technical stakeholders/customers V&V of theoretical models and software projects Engagement with relevant communities across AWE Contribute to interactions with international partners and external stakeholders in their field Participate in, review, learn, and improve activities, and implement the outcomes to ensure the continued development and implementation of best practice in the delivery of technical projects Planning and development of theoretical models and software projects The Company may require you to fulfil other reasonable duties aligned to your position from time to time in line with business needs Who are we looking for? We do need you to have the following: An undergraduate degree in a scientific or STEM discipline, equivalent NQF level 6 qualification or equivalent experience Working level of experience or postgraduate qualifications in relevant scientific field or STEM discipline Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Experience with scientific programming languages such as FORTRAN, C++, and/or Python Experience with producing and briefing technical assessment outputs to non-technical stakeholders/customers Software design, development, V&V best practices, and version control Leading individual or group projects The following would be advantageous but not essential: A specialism in one or more of the following areas is advantageous: Radiation Physics Atmospheric physics and dispersion modelling Buoyant plume rise Thermodynamics and equation of state Physical chemistry Numerical methods Turbulence Multiphase material modelling Using bespoke software to complete detailed analyses Working level of experience in undertaking technical research and conducting technical assessments to draw sound scientific conclusions Clear and concise communication both verbally and in written work Objective problem-solving skill using technical knowledge Ability to prioritise a varied workload for self or a small team, ensuring timely delivery with minimum supervision Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Next steps: Everyone who works at AWE brings unique skills and perspectives to the table. We recognise that great people don't always 'tick every box'. That's why we focus on your potential, your fit with our values, your transferable skills as well as your experience. Even if you don't meet every point above, but you feel that this role and AWE are a great fit for you, please go ahead and apply, we'd love to receive your application. Important things you need to know: We encourage you to apply promptly to avoid disappointment if applications are high and the role therefore closes. You will need to obtain and maintain the necessary security clearance for the role. This will be funded by AWE. The nature of our work does mean you need to be a British Citizen who has been resident in the UK for the past 5 years in order to apply for SC clearance and 10 years for DV. We want you to feel comfortable and able to shine during our recruitment process. Please let us know on your application form if you need any adjustments/accommodations during the process. Our interviews typically take place over Teams and for most roles are a 1 stage process. Our ambition is to create workplaces where we recognise and celebrate differences, encourage diverse contributions and our employees feel able to be themselves at work. We strive to create a genuine culture of openness and inclusion and encourage diverse applicants. Any inclusion information you provide will be stored in accordance with GDPR and kept separate from your application form and CV, and the information will not be shared with anyone involved in interviewing or making hiring decisions. Please note that you must be a British Citizen to apply for a role with us.

Job Title: Research Scientist - AI & ML BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualified with at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work successful candidates for this role will be required to go through Government SC clearance prior to starting with us. We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Job City: Great Baddow Professional Area: Data Analysis and Management

The Science of Evaluations Team AISI's Science of Evaluations team will conduct applied and foundational research focused on two areas at the core of our mission: (i) measuring existing frontier AI system capabilities and (ii) predicting the capabilities of a system before running an evaluation. Measurement of Capabilities: The goal is to develop and apply rigorous scientific techniques for the measurement of frontier AI system capabilities, so they are accurate, robust, and useful in decision making. This is a nascent area of research which supports one of AISI's core products: conducting tests of frontier AI systems and feeding back results, insights, and recommendations to model developers and policy makers. The team will be an independent voice on the quality of our testing reports and the limitations of our evaluations. You will collaborate closely with researchers and engineers from the workstreams who develop and run our evaluations, getting into the details of their key strengths and weaknesses, proposing improvements, and developing techniques to get the most out of our results. The key challenge is increasing the confidence in our claims about system capabilities, based on solid evidence and analysis. Directions we are exploring include: Running internal red teaming of testing exercises and adversarial collaborations with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Example checks could include: performance as a function of context length, auditing areas with surprising model performance, checking for soft refusal performance issues, and efficient comparisons of system performance between pre-deployment and post-deployment testing. Running in-depth analyses of evaluations results to understand successes and failures and using these insights to create best practices for testing exercises. Developing our approach to uncertainty quantification and significance testing, increasing statistical power (given time and token constraints). Developing methods for inferring model capabilities across given domains from task or benchmark success rates, and assigning confidence levels to claims about capabilities. Predictive Evaluations: The goal is to develop approaches to estimate the capabilities of frontier AI systems on tasks or benchmarks, before they are run. Ideally, we would be able to do this at some point early in the training process of a new model, using information about the architecture, dataset, or training compute. This research aims to provide us with advance warning of models reaching a particular level of capability, where additional safety mitigations may need to be put in place. This work is complementary to both safety cases -an AISI foundational research effort-and AISI's general evaluations work. This topic is currently an area of active research, and we believe it is poised to develop rapidly. We are particularly interested in developing predictive evaluations for complex, long-horizon agent tasks, since we believe this will be the most important type of evaluation as AI capabilities advance. You will help develop this field of research, both by direct technical work and via collaborations with external experts, partner organizations, and policy makers. Across both focus areas, there will be significant scope to contribute to the overall vision and strategy of the science of evaluations team as an early hire. You'll receive coaching from your manager and mentorship from the research directors at AISI (including Geoffrey Irving and Yarin Gal), and work closely with talented Policy / Strategy leads and Research Engineers and Research Scientists. Responsibilities This role offers the opportunity to progress deep technical work at the frontier of AI safety and governance. Your work will include: Running internal red teaming of testing exercises and adversarial collaborations with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Conducting in-depth analysis of evaluations methodology and results, diagnosing possible sources of uncertainty or bias, to improve our confidence in estimates of AI system capabilities. Improving the statistical analysis of evaluations results (e.g. model selection, hypothesis testing, significance testing, uncertainty quantification). Developing and implementing internal best-practices and protocols for evaluations and testing exercises. Staying well informed of the details and strengths and weaknesses of evaluations across domains in AISI and the state of the art in frontier AI evaluations research more broadly. Conducting research on predictive evaluations using the latest techniques from the published literature on AISI's internal evaluations, as well as conducting novel research to improve these techniques. Writing and editing scientific reports and other materials aimed at diverse audiences, focusing on synthesizing empirical results and recommendations to key decision-makers, ensuring high standards in clarity, precision, and style. Person Specification To set you up for success, we are looking for some of the following skills, experience and attitudes, but we are flexible in shaping the role to your background and expertise. Experience working within a world-leading team in machine learning or a related field (e.g. multiple first author publications at top-tier conferences). Strong track record of academic excellence (e.g. PhD in a technical field and/or spotlight papers at top-tier conferences). Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, hands-on experience with designing and running evaluations, scaling laws, fine-tuning, scaffolding, prompting. Broad experience in empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply care about methodological and statistical rigor, balanced with pragmatism, and willingness to get into the weeds. Experience with data visualization and presentation. Proven track record of excellent scientific writing and communication, with the ability to understand and communicate complex technical concepts for non-technical stakeholders and synthesize scientific results into compelling narratives. Motivated to conduct technical research with an emphasis on direct policy impact rather than exploring novel ideas. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 The Department for Science, Innovation and Technology offers a competitive mix of benefits including: A culture of flexible working, such as job sharing, homeworking and compressed hours. Automatic enrolment into the Civil Service Pension Scheme , with an average employer contribution of 27%. A minimum of 25 days of paid annual leave, increasing by 1 day per year up to a maximum of 30. An extensive range of learning & professional development opportunities, which all staff are actively encouraged to pursue. Access to a range of retail, travel and lifestyle employee discounts. The Department operates a discretionary hybrid working policy, which provides for a combination of working hours from your place of work and from your home in the UK. The current expectation for staff is to attend the office or non-home based location for 40-60% of the time over the accounting period. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. The interview process may vary candidate to candidate, however, you should expect a typical process to include some technical proficiency tests, discussions with a cross-section of our team at AISI (including non-technical staff), conversations with your workstream lead. The process will culminate in a conversation with members of the senior team here at AISI. Candidates should expect to go through some or all of the following stages once an application has been submitted: Initial interview Technical take home test Second interview and review of take home test Third interview Final interview with members of the senior team Required Experience We select based on skills and experience regarding the following areas: . click apply for full job details

We are seeking a talented Machine Learning (ML) Scientist to join a groundbreaking initiative to develop Digital Twins for rare diseases. You will work within a multidisciplinary project team, across the Open Targets, Molecular Systems and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). This project is funded through the Chan Zuckerberg Initiative with a strong emphasis on making datasets and models open source where possible. Rare diseases collectively impact approximately 300 million individuals worldwide, but their study is hindered by limited patient-level data. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. The role involves designing and implementing ML models that integrate multi-omics data and clinically relevant endpoints, contributing to the creation of virtual patient models to simulate disease trajectories and therapeutic responses. This is a unique opportunity to develop and apply advanced ML methodologies and significantly contribute to understanding rare disease biology, enabling applications such as diagnosis, drug repurposing, and new treatment development. Your role The ML Modeller's primary tasks include developing and applying advanced ML and GenAI frameworks to integrate and analyze multi-omics datasets. The role involves working collaboratively with biocurators, bioinformaticians, and mechanistic modellers to ensure seamless integration of data into Digital Twin models. Responsibilities include: Designing, implementing, and optimizing ML models tailored to rare disease datasets. Applying GenAI approaches to enhance data imputation, integration, and prediction capabilities. Integration of multi-omics datasets (single-cell and bulk transcriptomics, genomics, and clinical data). Collaborating with biocurators to curate and preprocess datasets for model training and validation. Ensuring robust model performance through testing and validation using benchmarking datasets. Contributing to open-source dissemination of datasets and models, following FAIR principles. Engaging with global consortia to align models with the needs of the rare disease research community. Documenting workflows, models, and results for reproducibility and transparency. You have • PhD (or equivalent experience) in Computer Science, Computational Biology, Bioinformatics, or a related field. • Proven track record in developing and deploying ML models for large datasets. • Experience with advanced ML, VAE, GenAI frameworks and large-scale data modelling. • Proficiency in Python, R, or similar programming languages. • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Strong knowledge of advanced statistical techniques and modern deep learning methods. • Expertise in pipeline workflow management tools like Nextflow or Snakemake. • Excellent communication skills, both written and verbal, for collaborative teamwork and reporting. • Self-motivated and capable of working independently and within multidisciplinary teams. • Enthusiasm to advance research in disease modelling and patient care. • Demonstrated capacity to prioritize and manage multiple independent projects in a dynamic environment. You may also have • Experience in developing ML models for biological or clinical datasets. • Hands-on experience with multi-omics data integration and analysis. • Experience publishing in high-impact journals and presenting at international conferences. • Familiarity with single-cell transcriptomics, bulk omics data, and genomics. • Strong knowledge of FAIR principles and open data standards. • Experience with cloud computing platforms and high-performance computing environments. • Strong ability to convey complex ML concepts to non-technical stakeholders. Contract length: 2 years fixed-term grant-limited, to work on the CZI Digital Twin grant. Salary: Grade 5 or 6 depending on qualifications and experience, monthly salary at £3,229 or £3,612 after tax but excluding pension and insurance contributions. Plus generous benefits. Why join us Do something meaningful at EMBL-EBI where you can apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets. We provide the global research community with access to publicly available databases and tools which are crucial for the advancement of healthcare, food security, and biodiversity. Join a culture of innovation in a highly collaborative and inclusive community where our employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential. Enjoy lots of benefits: Financial incentives: Monthly family, child and non-resident allowances, annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances. Flexible working arrangements - including hybrid working patterns. Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover). Generous time off: 30 days annual leave per year, in addition to public holidays. Relocation package including installation grant (if required). Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely). Family benefits: On-site nursery, 10 days of child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances. Benefits for non-UK residents: Visa exemption, education grant for private schooling, financial support to travel back to your home country every second year and a monthly non-resident allowance. For detailed information please visit our employee benefits page. What else you need to know International applicants: We recruit internationally and successful candidates are offered visa exemptions. Diversity and inclusion: At EMBL, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ & individuals from all nationalities. How to apply: To apply please submit a cover letter and a CV through our online system. We aim to provide a response within two weeks after the closing date. Closing Date: 16/03/2025 Company: European Molecular Biology Laboratory (EMBL) Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Machine Learning , NLP , United Kingdom

BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Graduate Materials Scientist at PARC Start Date: September 2025 Base Location: Great Baddow The graduate programme is designed to give you ownership of your career aspirations, supported by training and practical experience to help you succeed. You will be part of our Future Talent Community and be assigned a Career Manager, who will support and guide you throughout your career with us. Role Profile As a Materials Scientist, you will be working as part of a multidiscipline team within the Product Assurance Response Centre (PARC). PARC's activities include the provision of rapid technical troubleshooting services relating to components, production and processes. This role will provide you with the chance to develop your skills within materials science where every day is different. Your main responsibilities as a Materials Scientist / Chemist will involve: Providing rapid troubleshooting and failure analysis service relating to components, production and processes. Ensuring high performance, quality, value, and competitiveness throughout BAE Systems. Using test and analytical equipment to ensure problems are solved in a timely fashion. Preparing technical reports, test procedures, process specifications and other product documentation. Liaising with both internal and external customers, including travel and visits to other business units. Knowledge of materials properties, selection, processing and testing, including polymers, metals, ceramics and composites. Who are we looking for? The ideal graduate will have excellent analytical and numerical skills and be able to demonstrate objective and logical thinking. You will have a desire to learn along with having a creative mind. Clear and effective communication skills are essential, along with being articulate both verbally and in writing. You will be expected to work well as part of a team, so interpersonal skills are key. Competence in Microsoft Office packages is essential. Membership of a recognised technical institution would be advantageous as well as knowledge of modern analytical techniques (In-house training will also be provided). A proven track record in a production, electronics or quality environment is preferable. What's in it for you? • Work-life balance is important; you'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. • Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. • You'll have a dedicated Career Manager to help you develop your career. • You are welcome to join any/all of our Diversity and Support groups. • £34,000 starting salary, rising over the course of the programme. Entry Requirements • You will need to have obtained or be studying towards a 2:2 or above in Materials Science/Chemistry or Metallurgy. • You will need to have graduated within the last 3 years. Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Successful candidates for this role will be required to go through Government SC clearance prior to starting with us. What are the next steps? We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home or another BAE Systems office, some or all of the time. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds can work together to achieve excellence. Job Title: Graduate Material Scientist - Great Baddow - Sept 2025 Job City: Great Baddow Professional Area: Graduates and Students

We're evoke, one of the world's leading betting and gaming companies and we're looking for a Product Machine Learning Scientist to join our team. In this role, you'll work on highly complicated challenges in the gaming industry. Take a significant part in the growth process of one of the leading gaming companies in the world and work in a challenging, exciting and expanding environment. Work with leading developers, analysts, product managers and business owners on growth opportunities and new ideas and be part of our AI revolution. This is a unique opportunity for end-to-end Machine Learning Scientists that have a strong background and experience in machine learning pipeline going through business understanding, data exploration, feature engineering, model building, performance evaluation, testing and production deployment. Our Product Analytics team is at the heart of data-driven decision-making, empowering the company to create exceptional gaming experiences. We partner closely with product managers and business leaders to uncover insights, measure impact, and drive strategy. By analysing player behaviour, identifying trends, and evaluating feature performance, our team ensures that every decision is informed by robust, actionable data. Together, we fuel innovation and help deliver personalised, engaging experiences that delight our players and maximize value. What you will be doing: Collaborating with various departments in the company to provide advanced Data Science solutions end to end. Independent research and innovation in new content and technological domains. Taking a leading role in projects such as recommendation systems, churn and uplift modelling, real-time predictions, handling live streaming data, users clustering and personalization, product A/B continuous optimization, and many others. Who we are looking for: We are committed to responsible gambling, and we are looking for people who can support our ethos. To apply to this post, you will have: MSc in Computer Science/Statistics/Engineering or a related field with a focus on applied statistics, AI, machine learning, or related fields with experience working with predictive and probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL with excellent analytical and algorithmic skills. A proven record for successful implementation of translating business requirements into a technical solution. Multi-tasking skills from a technologically diverse background and the ability/willingness to learn new things quickly. What we offer: Our roles offer more than just a job, you'll become part of the William Hill family! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer: Family Support: Industry-leading maternity and paternity leave and paid time off if you have caring responsibilities. Perks and discounts: Discounts at a range of high-street retailers. Financial compensation: pension, and bonus schemes. Health & wellbeing: Tools and services to help support your well-being, including support with mental health and financial education. You will also have access to gym discounts and our cycle to work scheme. Hybrid working: Our employees can work from home up to 80% of the time with 20% of office time built in to ensure we get some face-to-face collaborative team time - and the chance for a coffee and a catch-up! More about evoke: We're a business that embraces change and progress. The power behind big name brands William Hill, 888 and Mr Green, evoke is the new name for 888 Holdings. Marking a new sense of purpose, direction and ambition for the business, there couldn't be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class betting and gaming experiences. That's the future. That's evoke. At evoke, you'll benefit from flexibility and a culture built on trust. We'll give you the space to be yourself and the tools you need to protect our customers while they play. We'll invest in your future to help you develop your unique strengths and build a career that's right for you. Apply: At evoke, we prioritise diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides opportunities for growth. Sound good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage. Apply today to kickstart your application with the evoke Family!

Job Description - Technical Consultant I, Water Scientist (LON03AW) Technical Consultant I, Water Scientist - LON03AW Company: Worley Consulting Primary Location GBR-GL-London Job Water Science Consultants Schedule Full-time Employment Type: Employee Job Posting Mar 18, 2025 Unposting Date Apr 17, 2025 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we're bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. Technical Consultant I, Water Scientist Role Context: Position role reports to - Water Resource Manager, Water, Environmental and Sustainability (E&S) Location of Position: UK (Leeds, Bristol, London, Manchester, Glasgow) Salary: very competitive + benefits Responsibilities: Technical responsibilities will vary depending on the project but will involve: Participating in the delivery of hydrological deliverables Performing hydrological analysis, including reviewing meteorological, hydrological and topographic data; undertaking statistical analyses of rainfall and flow data; rainfall-runoff modelling and drainage design Performing hydraulic modelling and assessment. Modelling capability in HEC RAS, and TUFLOW software packages, or equivalent Supporting Senior members of the team in presenting, analysing and interpreting water data to assess and evaluate flood risks for a project Ability to write flood risk assessments Ability to work constructively within large engineering teams to ensure successful project outcomes Excellent oral and written communication skills and an ability to think logically and clearly Supporting junior consultants to develop their skills The successful candidate will be expected to travel within the UK and occasionally overseas but not for extended periods. Qualifications: You'll have: Minimum BSc/BEng. in a relevant subject (e.g. hydrology, civil engineering, hydraulics or other related disciplines). Motivated to learn and embrace new experiences. Logical and clear thinking. Excellent oral and written communication skills IT skills - hydraulic modelling applications (as HEC-HMS, HY-8, Tuflow, MicroDrainage, HEC RAS, PCSWMM) will be advantageous A willingness to travel, stay away from home and undertake site-based work Full valid driving license Eligible to work in the UK Ability to write clear, concise reports, and think logically and clearly Ability to build effective working relationships with clients, colleagues, and contractors Moving Forward: We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here. And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Are you a highly talented and motivated Modelling & Simulation Scientist with experience in the pharma, cosmetics, crop protection, flavoring, or chemistry industry? Do you enjoy driving innovation and setting new boundaries in System Toxicology and Risk Assessment? This position offers you this and more exciting work in an innovative and fast-paced environment. ESQlabs is an innovative, internationally acting Contract Research Organization and a global leader in the development and application of the OSP Suite (). We are a research-focused provider of specialized computational analyses in the life sciences industry. To help us grow our global PBK/QST business , we are looking for a Senior Scientist Systems Toxicology (m/f/d) to strengthen our multi-disciplinary project teams for the successful completion of client goals. This role will engage in activities ranging from consultations on study design and regulatory requirements through the development and evaluation of models, the performance of simulations, and the presentation of results. Role Complement a dedicated high-performing team of scientists Collaborate with colleagues on multi-disciplinary teams to implement quantitative modeling and simulation projects/programs and to provide risk assessment and PBK/QST consultation to other company projects/programs Provide modeling and simulation consulting through advanced PBK, QST, and exposure-response modeling and simulation using the OSP-Suite (PK-Sim, MoBi, R), or other tools Support risk assessment protocols, study conduct, data analysis, and report writing with the support of colleagues Responsible for appropriateness of methods, integrity of data used for analysis, and accuracy of results Regularly engage with clients regarding the strategic approach, project execution, presentation of results, regulatory implications, and messaging of findings Prepare final technical reports, synopses, executive summaries, and other regulatory documents Ensure the provision of advanced literature searches for project/program-related information Provide sophisticated written interpretation of material and integrate research findings into project/program methodology and results Share findings with internal and external project teams; prepare abstracts, presentations, and publication-ready manuscripts Provide mentoring and feedback to junior scientists Integrate knowledge of PBK and QST to provide guidance regarding proposed approaches to address risk assessment and regulatory approval challenges Expand scientific expertise through attendance and presentation at international, national, and regional scientific conferences, client meetings, and government meetings Develop and teach at OSP-Suite (PK-Sim, MoBi, R), and other workshops and courses Required Skills & Experience 5+ years (Principal 10+ years) of applied toxicology 3+ years (Principal 5+ years) of leading projects and programs 3+ years (Principal 5+ years) of experience in regulatory applications of PBK modeling Good knowledge of regulatory requirements and guidelines for PBK and QST Strong experience presenting scientific results to professional audiences Extensive experience preparing, submitting, and receiving approval for publications in scientific journals Mechanistic physiologically based kinetic modeling and simulation experience Expert knowledge in domain-specific modeling software (e.g. PK-Sim/MoBi, SimCyp, or GastroPlus or TK-plate) Excellent communication, presentation, and leadership skills Relationship-building skills with the ability to work closely with project leaders and team members Strong organization skills and ability to handle multiple tasks simultaneously Work well handling tight deadlines Great critical-thinking and problem-solving skills Fluency in English (oral and written), German is a plus Education PhD, or masters in quantitative sciences (Bioengineering, Applied Math, ) with advanced toxicology related training Or PharmD or PhD in pharmacology, toxicology, or related field with advanced applied mathematics related training Further Qualities That Will Put You in the Spotlight Experience in regulatory submissions Advanced expertise in kinetics modeling software (e.g. NONMEM, Monolix, or IQRtools) Proficiency in a scripting language for modeling and simulation (ideally R, alternatively MATLAB) A strong understanding of statistics Strategic domain knowledge: Drug development, Crop protection, Flavoring, etc. Published peer-reviewed articles What's in Store for You The dynamic team behind esqLABS unites people with different backgrounds, spanning disciplines like pharmaceutical sciences, physics, bioinformatics, mathematics, data science, and software engineering. Our trust in each other, our open-mindedness, and our constant quest for excellence and innovation unite us. We value flat hierarchies, where everyone can contribute ideas and expertise to develop the best product. We are passionate, always willing to broaden our horizons, and love our start-up culture. You will also benefit from: Flexible work hours and a home office policy that focuses on people and not on numbers An attractive remuneration package A dedicated budget for education programs and conferences you can attend A working environment in which your contribution will make a difference, and that allows you to take ownership of projects and processes Responsibility, autonomy, participation, and career perspective About Us We collaborate with global corporations in the pharma and chemical industry, as well as start-ups in the life-science technology sector and academic and non-profit research institutions. We define new standards in pharmacometrics and systems pharmacology and toxicology areas. Our software and model platforms help scientists understand mechanisms of diseases and chemical toxicity to optimize individualized treatment of patients and protect the health of the animal and human life. esqLABS has attracted international players as sponsors for the OSP Software development. In addition, funding through national and EU-wide research grants allows us to develop our core technologies continuously. For more information about our culture, values and benefits visit our Unique career opportunities - esqLABS GmbH . At esqLABS, we are committed to diverse backgrounds and experiences.

Research Scientist - Large Language Model Post-Training London Remote - United Kingdom PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. As a Research Scientist specialising in large language model post-training, you will play a key role in shaping and implementing strategies for aligning language models for use in our conversational AI platform. Your primary focus will be on post-training techniques such as preference-finetuning, reward modelling, synthetic data generation, etc. Responsibilities : Train models and conduct experiments to assess model performance in live deployments Develop post-training strategies to achieve state of the art performance on domain-specific tasks Generate, collect, and annotate contact center data from sources such as real customer calls, chats, online open datasets, and synthetic data Develop robust evaluation benchmarks to track improvements in production models Collaborate with the legal and compliance team to address any compliance or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Requirements : A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience 3+ years of experience working with deep learning and statistical models Strong knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services such as AWS, GCP, or Azure Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences A passion for solving technical challenges and driving practical solutions Preferred Qualifications : Experience working with LLMs and data preparation pipelines. Experience with speech models, such as ASR or TTS. Benefits : Participation in the company's employee share options plan 25 days holiday, plus bank holidays Flexible working from home policy Work from outside of the UK for up to 6 months each year Enhanced parental leave Bike2Work scheme Annual learning and development allowance One-off WFH allowance when you join Company-funded fertility and family-forming programmes Menopause care programme with Maven Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs At PolyAI, we take great pride in our values-they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best: We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership: We care deeply about what we do. We take ownership of our initiatives, decisions, and outcomes. Relentlessly improve: We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action: Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit: We are all working toward the same goal. If we don't agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people: We are hyper-focused on delivering the best automated experiences possible so that we can empower people to get exactly what they need, when they need it. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status.

IDBS helps BioPharma organizations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies1, IDBS delivers powerful cloud software and services specifically designed to meet the evolving needs of the BioPharma sector. IDBS, a Danaher company, leverages 35 years of scientific informatics expertise to help organizations design, execute and orchestrate processes, manage, contextualize and structure data and gain valuable insights throughout the product lifecycle, from R&D through manufacturing. Known for its signature IDBS E-WorkBook software, IDBS has extended its flexible, scalable solutions to the IDBS Polar and PIMS cloud platforms to help scientists make smarter decisions with assured confidence in both GxP and non-GxP environments. Do you want to work in an agile feature team? Do you enjoy working with cloud based technologies using an automation first approach? We are currently seeking a Software Test Engineer who will be responsible for contributing to the testing activities through the lifecycle of a ticket from refinement to testing signoff, following a risk based testing approach. What you will be doing: Working in an Agile software team to create and review Test Plans and Test Scripts for User Stories, Business Requirements or System Requirements. Contributing to the team activities, including hands-on execution of testing, both manual and automated (using tools such as Robot Framework, Cypress, Playwright and JMeter), ensuring repeatable and verifiable test records. Proactively developing your skills, identifying areas for improvement that align with company strategy and your own career aspirations and undertaking required training activities. Here is what success in this role looks like: The ability to independently analyse a system, requirement or problem and produce a high quality, effective testing approach and set of test scripts. Experience with software development tools and methodologies (such as GitHub, Jenkins, JIRA, Scrum, Scrumban, Kanban). A passion for technology and an interest in learning more about Jenkins, CI/CD and cloud based technologies. It would be a plus if you also possess previous experience in: ISTQB Foundation in Software Testing (or equivalent) qualification, but we're open to finding someone passionate about testing and looking for their next opportunity within the industry. A background and interest in Science, due to the nature of our software. At IDBS we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a flexible work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for IDBS can provide. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

IDBS helps BioPharma organizations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies1, IDBS delivers powerful cloud software and services specifically designed to meet the evolving needs of the BioPharma sector. IDBS, a Danaher company, leverages 35 years of scientific informatics expertise to help organizations design, execute and orchestrate processes, manage, contextualize and structure data and gain valuable insights throughout the product lifecycle, from R&D through manufacturing. Known for its signature IDBS E-WorkBook software, IDBS has extended its flexible, scalable solutions to the IDBS Polar and PIMS cloud platforms to help scientists make smarter decisions with assured confidence in both GxP and non-GxP environments. Do you want to work in an agile feature team? Do you enjoy working with cloud based technologies using an automation first approach? We are currently seeking a Software Test Engineer who will be responsible for contributing to the testing activities through the lifecycle of a ticket from refinement to testing signoff, following a risk based testing approach. What you will be doing: Working in an Agile software team to create and review Test Plans and Test Scripts for User Stories, Business Requirements or System Requirements. Contributing to the team activities, including hands-on execution of testing, both manual and automated (using tools such as Robot Framework, Cypress, Playwright and JMeter), ensuring repeatable and verifiable test records. Proactively developing your skills, identifying areas for improvement that align with company strategy and your own career aspirations and undertaking required training activities. Here is what success in this role looks like: The ability to independently analyse a system, requirement or problem and produce a high quality, effective testing approach and set of test scripts. Experience with software development tools and methodologies (such as GitHub, Jenkins, JIRA, Scrum, Scrumban, Kanban). A passion for technology and an interest in learning more about Jenkins, CI/CD and cloud based technologies. It would be a plus if you also possess previous experience in: ISTQB Foundation in Software Testing (or equivalent) qualification, but we're open to finding someone passionate about testing and looking for their next opportunity within the industry. A background and interest in Science, due to the nature of our software. At IDBS we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a flexible work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for IDBS can provide. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

FUJIFILM Diosynth Biotechnologies The work we do at FUJIFILM Diosynth Biotechnologies (FDB) has never been more important and we are looking for talented candidates to join us. We're growing our locations, our capabilities, and our teams, and looking for passionate, mission-driven people like you who want to make a real difference in people's lives. Join FDB and help create the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. Here, you'll work alongside and learn from some of the most dedicated scientists, engineers, and manufacturers in the industry. About Us At FDB, passion is what we call Genki - lives inside everything we do. It's within each of our employees, inside our technology, behind our science, fore to our manufacturing process and facilities, in our therapies and biologics, and central to the accomplishments we help make possible for our customers. It's the Genki inside FDB that unites us across sites, energizes our work together forward, and pushes us toward our shared purpose of advancing tomorrow's medicines, together. Role & Responsibilities The Executive Director Commercial Development Advanced Therapies will co-develop and maintain the Advanced Therapies Global Sales and Marketing strategies aligned with FDB budget and growth plans. Strive to implement sales strategies across Europe and provide leadership to your team and internal manufacturing sites. MAJOR ACTIVITIES AND RESPONSIBILITIES: Inspire, lead, and cultivate the European Sales team while supporting U.S. and Asian counterparts, fostering a collaborative environment for global sales excellence and optimal client interactions. Mentor and coach Commercial Directors, enabling them to succeed in contract negotiations including MSA's, CSA's, CDA's and general contract terms either through consultancy or active engagement in negotiations. Actively engage in customer business development and account management activities to exemplify sales excellence and leadership, guiding and nurturing the team through hands-on involvement allowing for direct learning and adaptation of best practices. Partner with the Global VP Advanced Therapies to shape and execute the FDB Global Sales and Marketing plan with defined goals spanning short-to-long term horizons. Apply and adapt the FDB Global Sales and Marketing strategy across the European market, maximising penetration of FDB services and ensuring alignment with global objectives. Inspire, lead and cultivate the European Sales Team while supporting US and Asian counterparts to foster a collaborative for global sales excellence and optimal client interactions. Mentor and coach the Commercial Directors in commercial contract negotiations including MSA's, CSA's CDA's, general contract terms etc., whenever required either by advice or by an active role and physical presence in the negotiation process to achieve business targets. Lead on significant contract negotiation to meet business objectives, being present and serving as a model for decisive strategic business engagements. Process market feedback from assigned territories to continually refine the Sales and Marketing messaging and strategy and support the VP, Strategic business development in new areas of growth for FDB. Provide impactful market support at customer meetings and conferences, enhancing the customer experience. Drive company values across all business sectors to ensure the realization of company vision. Support the Global VP Commercial and participate in business committee meetings with current clients as needed. Allocate leads, clients, RFP's (requests for proposal) or geographical areas to Commercial Directors to ensure an adequate distribution of the work load and commission potential in line with individual capabilities. Work collaboratively with Executive Director, Commercial Development (Large Molecules), North America and Alliance Management to ensure that clients are provided a consistent experience and accounts are not passed between CDMs unless necessary to better support the client's needs. Special Features Complex customer base from very small startup biotech to major pharmaceutical companies therefore the job holder must be able to adjust behaviors appropriately and operate comfortably at a very senior level. Be able work with customers from varied cultural backgrounds. Able to influence Global leaders. Programs are almost always on a customer's critical path and receive intense scrutiny from customers. Job holder must manage this ensuring delighted customers while protecting the business. Qualifications and Experience BACKGROUND REQUIREMENTS: Education/Experience: Relevant academic degree, with a preference for a Master's or PhD in a related cell and gene therapy field or novel modality manufacturing. Essential experience: 7+ years of relevant senior level business (business development, sales, marketing) experience in the biopharmaceutical area and a personal network of contacts in this industry. 5+ years of experience leading teams: Capability in leading and developing a European Commercial Development team, fostering growth and collaboration. Strong interpersonal skills to mentor and guide teams towards achieving strategic sales and business development goals. Insight in / experience with IP and legal issues. Demonstrated ability to write clear and comprehensive business documents, showcasing strong analytical and strategic thinking. Proven negotiation skills for handling complex commercial contracts. Ability to influence market strategies and foster new growth areas, driven by market feedback and innovative thinking. Proven presentation skills. Proficiency in managing sales pipelines and utilizing platforms like Salesforce for accurate data management and analysis. Why work with us? At FDB, your passion - your Genki - is your power and we empower you to define what Genki means to you. If this has shaken your interest, then please apply right away as we review CV's all the time. This is a global position that will support all Advanced Therapy sites (Europe & USA). We have European offices located in the United Kingdom (Teesside) and Denmark (Hillerød). Compensation and Benefits will be governed by the location that you are based at and considered your home site.

IDBS helps BioPharma organizations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies1, IDBS delivers powerful cloud software and services specifically designed to meet the evolving needs of the BioPharma sector. IDBS, a Danaher company, leverages 35 years of scientific informatics expertise to help organizations design, execute and orchestrate processes, manage, contextualize and structure data and gain valuable insights throughout the product lifecycle, from R&D through manufacturing. Known for its signature IDBS E-WorkBook software, IDBS has extended its flexible, scalable solutions to the IDBS Polar and PIMS cloud platforms to help scientists make smarter decisions with assured confidence in both GxP and non-GxP environments. Do you want to work in an agile feature team? Do you enjoy working with cloud based technologies using an automation first approach? We are currently seeking a Software Test Engineer who will be responsible for contributing to the testing activities through the lifecycle of a ticket from refinement to testing signoff, following a risk based testing approach. What you will be doing: Working in an Agile software team to create and review Test Plans and Test Scripts for User Stories, Business Requirements or System Requirements. Contributing to the team activities, including hands-on execution of testing, both manual and automated (using tools such as Robot Framework, Cypress, Playwright and JMeter), ensuring repeatable and verifiable test records. Proactively developing your skills, identifying areas for improvement that align with company strategy and your own career aspirations and undertaking required training activities. Here is what success in this role looks like: The ability to independently analyse a system, requirement or problem and produce a high quality, effective testing approach and set of test scripts. Experience with software development tools and methodologies (such as GitHub, Jenkins, JIRA, Scrum, Scrumban, Kanban). A passion for technology and an interest in learning more about Jenkins, CI/CD and cloud based technologies. It would be a plus if you also possess previous experience in: ISTQB Foundation in Software Testing (or equivalent) qualification, but we're open to finding someone passionate about testing and looking for their next opportunity within the industry. A background and interest in Science, due to the nature of our software. At IDBS we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a flexible work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for IDBS can provide. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

We're evoke, one of the world's leading betting and gaming companies and we're looking for a Leeds or London based Personalisation Product Analyst. Here you will play a critical role in enhancing player engagement and optimizing the user experience. Our Product Analytics team is at the heart of data-driven decision-making, empowering the company to create exceptional gaming experiences. We partner closely with product managers and business leaders to uncover insights, measure impact, and drive strategy. By analysing player behaviour, identifying trends, and evaluating feature performance, our team ensures that every decision is informed by robust, actionable data. Together, we fuel innovation and help deliver personalised, engaging experiences that delight our players and maximize value. What you will be doing: Translating data insights into actions and recommendations that will drive engagement and growth Plan, monitor and analyse AB tests for new features, while applying/using statistical methods for purposes of significance testing Leading the optimization to evoke's personalization models alongside the data scientists Identifying opportunities for improving our product supported by quantitative data analysis Working with stakeholders to understand drivers behind core business trends Analysing user behaviour and product optimization Presentation of insights and recommendations to senior stakeholders Who we are looking for: We are committed to responsible gambling, and we are looking for people who can support our ethos. To apply to this post, you will have: A BA/BSc/MA in Statistics, Maths, Industrial engineering, or other quantitative field Experience in a quantitative role using R/Python and writing complex SQL code Excellent communication and presentation skills Analytical and problem-solving skills and experience with Tableau/Power BI and Excel skills What we offer: Our roles offer more than just a job, you'll become part of the William Hill family! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer: Family Support: Industry-leading maternity and paternity leave and paid time off if you have caring responsibilities Perks and discounts: Discounts at a range of high-street retailers Financial compensation, pension, and bonus schemes Health & wellbeing: Tools and services to help support your well-being, including support with mental health and financial education. You will also have access to gym discounts and our cycle to work scheme Hybrid working: Our employees can work from home up to 80% of the time with 20% of office time built in to ensure we get some face-to-face collaborative team time - and the chance for a coffee and a catch-up! More about evoke: We're a business that embraces change and progress. The power behind big name brands William Hill, 888 and Mr Green, evoke is the new name for 888 Holdings. Marking a new sense of purpose, direction and ambition for the business, there couldn't be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class betting and gaming experiences. That's the future. That's evoke. At evoke, you'll benefit from flexibility and a culture built on trust. We'll give you the space to be yourself and the tools you need to protect our customers while they play. We'll invest in your future to help you develop your unique strengths and build a career that's right for you. Apply: At evoke, we prioritise diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides opportunities for growth. Sound good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage. Apply today to kickstart your application with the evoke Family!