12 jobs found

Job id: 114087 Salary: £44,355 - £51,735 per annum inclusive of London Weighting Allowance. Posted: 30 April 2025 Closing date: 21 May 2025. Business unit: Faculty of Life Sciences & Medicine Department: Res Dept of Imag Phys & Eng. Contact details: Shaihan Malik. Location: St Thomas' Hospital Category: Research. About Us Situated at St Thomas' Hospital in the heart of central London, theImaging Physics and Engineeringdepartment brings together physicists, engineers, and clinicians to develop cutting-edge imaging technologies that directly impact patient care. As part of the School of Biomedical Engineering & Imaging Sciences-an internationally leading centre for healthcare engineering-we benefit from close links to clinical practice and a vibrant, multidisciplinary research environment. This creates a unique opportunity to contribute to translational science at one of the UK's top academic institutions. About The Role The project focuses on the development of computational "digital twin" models and novel control strategies for sustainable MRI in low- and middle-income settings. You will take a lead role in modelling the behaviour of low-cost MRI systems, developing AI-driven control methods, and validating performance through both simulation and hands-on experiments, including collaborations with international partners. This is a unique opportunity to contribute to cutting-edge research at the interface of medical imaging, AI, and global health. You will be part of a multidisciplinary team with strong links to clinical practice and a shared goal of advancing MRI technology for broader, equitable access. The role will offer opportunities for travel, publication, and collaboration across a global network of academic and clinical partners. Candidates should hold (or be close to completing) a PhD in a relevant field and have strong experience in scientific computing and data modelling. Experience with MRI, AI/machine learning, or imaging hardware is desirable. This is a full time post ( 35 Hours per week). About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded (or pending) in relevant subject area Strong background in coding for modelling/data processing in a scientific context Ability to work independently Excellent communication skills Track record of written publications and presentations at conferences Willingness to travel for performing experiments with collaborators if the requirements of the project demand Desirable criteria Experience of using Magnetic Resonance Imaging and allied technologies Knowledge of MR system engineering (hardware) Experience with training AI/machine learning models Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ' How we Recruit' pages. PLEASE CLICK HERE TO APPLY Tagged as: AI in medical imaging , biomedical engineering careers , global health research roles , imaging physics vacancies , King's College London jobs , low-cost MRI technology research , MRI modelling jobs , MRI research jobs UK , research associate job London , scientific computing roles UK

What if you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies to transform human health and sustainability? Company Summary: Quotient Therapeutics, Inc. is a privately held, early-stage company developing a novel genomics platform and therapeutics for diseases with a large unmet need. Quotient Therapeutics, Inc. was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS). To date, Flagship has deployed over $2.5 billion in capital toward the founding and growth of its pioneering companies alongside more than $19 billion of follow-on investments from other institutions. In 2021, Flagship Pioneering was ranked 12th globally on Fortune's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies. Position Summary: We are seeking a visionary Senior AI/ML Scientist to be part of ground-breaking research at the forefront of somatic genomics . You will be part of a dynamic team at Quotient's multidisciplinary research environment comprising AI scientists, computational biologists, genome scientists, software engineers, and disease area specialists. You will also work closely with specialists in translational science, drug discovery, and pre-clinical modelling. In this role, you will be responsible for designing and implementing novel machine learning and deep learning methods applied to somatic genomics. This includes identifying research problems that could be addressed through structured or unstructured, complex omics and imaging data and developing appropriate models and analytical solutions. Responsibilities: Develop and implement novel machine learning and deep learning methods to address key challenges in somatic genomics, ranging from imaging data analysis to variant interpretation. Extract research and business value from complex, unstructured somatic genomics data and metadata. Optimize large-scale data preparation, enhance analytics platforms, and industrialize validated analytical methods in collaboration with the data engineering team. Uncover novel biological insights into disease, spanning complex and rare diseases, and develop methods to validate new drug targets. Evaluate the scientific and technical integrity of algorithms and tools within the analysis pipeline. Work closely with discovery and development teams to integrate genomic and histology imaging analysis. Communicate findings effectively to both technical and non-technical audiences. Key Qualifications: PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioinformatics, or a related quantitative field. Strong programming skills with a solid understanding of algorithms and data structures. Proficiency in Python with hands-on experience using open-source ML frameworks such as scikit-learn, PyTorch, TensorFlow, or Keras. Extensive experience with Machine Learning and Deep Learning models (e.g., tree-based methods, CNNs, Transformers) and developing robust, production-ready ML systems. Strong communication skills, with the ability to convey complex ideas to both experts and non-experts through discussion and clear documentation. Excellent problem-solving and prioritization skills, with a collaborative mindset suited to a fast-paced, evolving environment. Passion for applying machine learning to life sciences, with an understanding of genomics and its impact on drug discovery. Additional Preferred Skills: Experience with AI Vision techniques (e.g., image segmentation, classification). Familiarity with Generative AI (LLMs). Experience with large-scale multi-omics data analysis. Hands-on experience with cloud computing (AWS). Location: Cambridge, England At Quotient Therapeutics, we're not just a team; we're pioneers on a mission to revolutionise the biotech landscape. Nestled in the vibrant outskirts of Cambridge, our company is all about innovative thinking and collaborative spirit. What We Offer: A Crucible of Innovation : Dive into a world where your ideas matter. Our work environment is dynamic, encouraging creativity and out-of-the-box thinking. Here, every voice contributes to our groundbreaking solutions. Professional Growth in a Supportive Environment : While we're small, our aspirations are big. You'll have the unique opportunity to grow with us, learning new skills and tackling diverse challenges every day. Your growth is our growth. Competitive Compensation : We understand the value of our team. That's why we offer competitive salaries that match your expertise and contribution to our shared goals. Above Standard Facilities : Our labs and workspaces are more than just functional. Enjoy working in above-standard facilities that stand out in the start-up world, fostering both comfort and innovation. Located at the Heart of Biotech Innovation : Our location isn't just a place; it's a strategic advantage. Situated near Cambridge, you'll be at the crossroads of biotech innovation and a thriving, intellectually stimulating community. Making a Difference : Here, your work transcends the ordinary. We're about making a tangible, positive impact on the world through our biotech advancements. Equality, Diversity, and Inclusion Aware : We're committed to creating a workplace where everyone feels valued and respected. While our formal ED&I statement is still in the works, we're actively aware and integrating these principles into our daily operations. While we are still growing and enhancing our benefits package, we believe that the opportunity to be a part of a transformative team in a rapidly evolving industry is a rewarding experience in itself. If you're ready to make a significant impact and grow with us, we'd love to hear from you. Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join our dynamic team and contribute their unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide. InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. We are seeking Research Scientists to join our London-based Research Team, working at the forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3, AlphaFold, RFDiffusion, and ProteinMPNN are revolutionising computational biology and in silico drug design; and InstaDeep is leading the way in developing the next generation of technologies and applications. This requires pushing the boundaries of both fundamental aspects of generative AI - including new algorithms, enhanced sampling and reasoning techniques - and the development and validation of these ideas for biological domains. As a Research Scientist at InstaDeep, you will have the opportunity to: Advance Foundational Research Tackle challenges in generative modelling, such as handling heterogeneous, multimodal, and noisy data, and developing effective sampling algorithms for both conditional and unconditional generation. Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber, to conduct large-scale training and evaluation of generative models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members to achieve research goals and contribute to a supportive, knowledge-sharing environment. Engage in Collaborative Projects Initiate and participate in collaborations with external partners and internal departments, including our applied BioAI team and strategic partners like BioNTech. Communicate Findings Report and present experimental results and research insights both internally and externally, through presentations, written publications and representing InstaDeep at conferences and events. Requirements Research Experience: Experience in professional research settings, either in industry or through PhD/post-doctoral positions. Proven Research Excellence: A strong track record of high-quality research, evidenced by publications in reputable scientific journals or conferences. Expertise in software development and programming in Python. Experience with deep learning frameworks such as PyTorch, JAX, and/or TensorFlow. Excellent ability to communicate complex ideas clearly, both verbally and in writing, and to work effectively within a multidisciplinary team. Strong analytical and critical thinking skills with the ability to adapt to a dynamic research environment and tackle complex challenges creatively. Demonstrated enthusiasm for continuous learning, staying updated with advancements in AI, and contributing novel ideas to the field. Desired Skills For senior roles who would be interested in leadership positions, experience mentoring junior team members, leading research projects, and guiding collaborative efforts is a plus. Knowledge of the following machine learning domains is a plus: Generative models leveraging diffusion or Bayesian Flow Networks. Large-scale distributed machine learning training. Knowledge, experience or interest in the following biological domains is a plus: Drug discovery and protein engineering. Understanding of protein language models and structural proteomics. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work Please note that you will require the legal right to work in the location you are applying for.

The Role Optima Partners is a forward-thinking professional services firm on an exciting growth trajectory. As we expand from 50 to 200 employees over the next two years, we are strengthening our team and are now looking for a skilled and experienced Head of Analytics & Data Science to lead and guide a team of data science professionals in the data space to help our clients deliver on their chosen business priorities. As Head of Analytics and Data Science, you will play a leading role in driving the analytics & data science agenda in the Advanced Data Practice. Your primary role will be to develop and grow a team of data analysts and data scientists as they deliver across a varied portfolio of client facing projects. You will support business development leads in creating and converting new opportunities, as the technical authority on application of data science in use cases across all our sectors. You will use your knowledge and practical experience to develop a best practice operating model to assure robust and commercially viable machine learning solutions are deployed and adopted with clients. You will line-manage members of the Decision Sciences and Machine Learning team, setting their goals, helping their personal development and enhancing overall colleague satisfaction. This is a fantastic opportunity for a passionate and experienced data science practitioner looking to progress their career in a leadership role, to drive forward an ambitious data science agenda. In return, you will benefit from our Advanced Data Practice's continuous learning and development, helping us all to stay at the forefront of a fast-paced data-driven world. Key Responsibilities Line Management : Managing 8-10 team data scientists and analysts (via 2-3 lead/managers), looking after their performance, PDP and career growth. Keeping abreast of their workstack, client engagements and contribution to the DSML knowledge base. Looking after their wellbeing and pastoral care. Client delivery: Delivery assurance on client projects, principally in the role of a technical oversight or technical expert. Providing client teams with best practice methods and standards in principled application of data science to achieve business goals. Ensuring robust project management and consulting approaches are trained and adhered to, and providing oversight/quality checking of models and client facing insights. Business and Commercial Development : support the Director of DSML and Director of Solutions in maturing BD opportunities, by co-attending sessions (on-site or remote), co-authoring slide materials. Work with the Commercial function to solidify our data science footprint in existing clients, ensuring strong health of existing engagements and roll-overs, and providing relevant information into commercial planning material. Financial Discipline: support the DSML director in having an accurate view of the team's key financial metrics (Metrics That Matter) supporting tight team discipline on commercial draw-down and reporting. You will work with the delivery team and client engagement managers to set standard ways of working and templated approaches to different types of engagements. You will be a natural communicator, able to articulate business problems/requirements to data scientists and engineers within delivery teams and data science/engineering solutions and concepts to business stakeholders. You will also have had experience in delivering technical data projects or have a strong grounding in delivery of large-scale data projects and have performed a translation role between business and technical stakeholders. Skills and Experience The Person A highly motivated, enthused, and energised attitude. A solution-finding mindset that seeks solutions rather than spots obstacles. Passion to foster a One-Team mentality, through driving and promoting a dynamic team activity agenda. A passion to nurture and grow talent in the Advanced Data Practice. Qualifications and Education Requirements Min 2.1 degree in a scientific/mathematical discipline (STEM). Preferably a MSc/other postgraduate degree in a quantitative discipline. A postgraduate degree (MSc/PhD) in a quantitative discipline. Desired: professional qualification or membership of a data science-related body. Key Technical Skills Ability to abstract complex business problems into data, model and decisioning ecosystems, articulating clearly to business leaders how these assets fit together and address their problem. Advanced knowledge of Statistics (including design and analysis of experiments, uncertainty quantification, range of predictive modelling methods). Advanced knowledge of ML techniques (in both a supervised and unsupervised learning context). Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and emerging technology stack for building and orchestrating ML solutions and decision algorithms, such as Databricks. A strong grasp of profit-loss dynamics and value drivers in a range of commercial settings. Key Business Skills Ability to spot commercial opportunities for data science use cases in existing and new client conversations. Excellent people skills, with ability to engage confidently with senior/C-suite leadership within clients. Strong coaching and mentoring skills. Excellent written and presentation skills. The Company Optima Partners is an advanced data and business consultancy headquartered in Edinburgh, UK. We are a practitioner-led organisation that collaborates with top consumer brands to drive transformation and foster customer-centricity through our expertise in customer strategy, innovative design, and advanced data science and engineering. We help our clients get closer to their customers, to truly understand them, and deliver exactly the right products, engagement, and experiences across all channels and interactions. We specialise in unlocking latent value within organisations through a three-pronged approach that focuses on identifying and enhancing value for customers, within the customer base, and within the business itself. In doing so, we foster sustainable value, paving the way for consistent business growth. We work with leading consumer brands to tackle and overcome complex business and customer problems to drive transformation and champion customer-centric agendas. We are proud to include some of the leading UK and global brands among our current clients such as Lloyds Banking Group, NatWest Group, Bank of Ireland, Nationwide, Aviva, Biogen, Eon Next, OVO, Virgin Media O2, BT, HMD Global, Centrica, and GSK. We are obsessive about delivering value for our clients and work in a collaborative, engaged, and creative way with our colleagues and clients. We strive to support the transition of knowledge and capability into strategic teams. In the pharmaceutical sector, we are internationally recognised for our expertise in early-phase drug discovery, genomics, and human genetics. In late 2023, we proudly launched our new division, bioXcelerate AI, which stands at the forefront of revolutionising life sciences and healthcare research. bioXcelerate AI uses state-of-the-art data science and proprietary algorithms to accelerate the transformation of data into actionable insights, redefining industry standards.

Working at Cytiva in the Life Sciences industry means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40 countries, Cytiva is a place where every day is a learning opportunity - so you can grow your career and expand your skills in the long term. Cytiva is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health. We are looking for a Senior Project Engineer to provide project management, hands-on execution and delivery of strategical & technical projects within the Discovery & Medical OpCo. This shall be achieved through developing, collaborating and leading teams to achieve OpCo agreed goals on-time, within budget and demonstrating the required Performance & Quality. What You'll Do: Lead and support efficient working teams to plan, execute and sustain project improvements within D&M Operations. Execute projects on-time, on-budget and achieve operational performance in Safety, Quality and Delivery. Lead Risk Management and Business Continuity planning for projects to control and reduce the risk of adverse impact on Operations and Commerical delivery to our Customers and Stakeholders. Ensure products are manufactured to specification and project changes maintain compliance to QMS. Specify, Develop, Purchase and Validate new equipment / process or site changes to manufacturing by efficiently following Cytiva and Pall Medical Change Control processes where applicable. Own and lead agreed cost saving projects for the Business via process improvements and waste reduction initiatives, leveraging DBS to excute the right way and to ensure sustainment of benefits. Identify, implement and sustain improvements to improve Safety, Quality and Delivery performance Supervise, mentor and support the relevant technical and project team members within your remit. Liaise with Stakeholders to build strong, well-thought-out business cases and engaged project delivery teams. Control the departmental budget related to your area of responsibility. Maintain personal compliance to procedures & policies and support continuously improving the training of our Technical Engineering team. Who You Are: Degree in Manufacturing, Mechanical Engineering, Project Mgmt with a technical/operations bias. Hands on experience of delivering Mfg Engineering projects/improvements/experience in managing change within a manufacturing environment. Strong track-record of successfully improving and sustaining Safety, Quality and Performance of our manufacturing equipment. Demonstrated ability to act with urgency, deliver sustained results, work well within a team, and demonstrates a commitment to delivering results. Effective planning, ability to make detailed analysis and data-driven decisions, structured approach for both your own workload and also the support of others to enable efficient and effective project execution. Demonstrates the ability to Lead, mentor and supervise a project team to deliver sustained improvements to manufacturing. Able to effectively supervise external contractors, machine-builders, and other suppliers to achieve the required business deliverables against committed timescales. 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.

Build the future of the AI Data Cloud. Join the Snowflake team. We are looking for a Senior Solution Engineer for the Swiss market who can solve our customer's most complex problems. In this role you will work directly with the account sales team and channel partners to understand the needs of our customers, strategize on how to best support them in their evaluation and ultimately help our customers choose Snowflake as their solution. As a Snowflake Solution Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and put them into practice on real world challenges. You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users or executives. In this role you will get to: Present Snowflake's technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Create and develop technical champions in your accounts to drive deals and achieve a technical win Be at the cutting edge of Snowflake technology and confidently present Snowflake roadmap features and functionality to customers and/or prospects Immerse and enable yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Work closely with other sales engineers to make each other the best and constantly learn from wins and losses Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing Represent Snowflake at industry or customer events Work with our ecosystem and implementation partners to build joint architectures or collaborate on account strategies and initiatives to help our customers be successful On day one you we will expect you to have: Extensive solution engineering/solution architect experience in a Saas environment or relevant industry experience (analytics, data science, data engineering etc) Extensive experience in the Pharma & Life Sciences industry Proven track record of delivering technical wins & strong customer relationships in your accounts Show leadership and impact beyond your own accounts by uplifting others in your team or region. Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of and experience with data architecture, data analytics and cloud technology Hands on experience with SQL Ability to solve customer specific business problems and apply Snowflake's solutions Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbal Proactively contribute and help co-develop Account & territory plans and execute while engaging with the broader internal/external ecosystem. Demonstrate strong Market knowledge/awareness and ability to open doors by leveraging your network Preferred (but not required) to have: Experience working with large, global customer accounts Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build connections, relationships and trust with our customers that last. We love to learn, are open to giving and receiving feedback and are passionate about making our customers and each other successful. Think you have what it takes but not sure that you tick every box above? Apply anyways! We value the broad range of experience our teams bring to the table and believe our customers are more successful because of it. Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information:

Be part of something altogether life-changing Working at Cytiva in the Life Sciences industry means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40 countries, Cytiva is a place where every day is a learning opportunity - so you can grow your career and expand your skills in the long term. Cytiva is proud to work alongside a community of nine fellow Danaher Life Sciences companies. Together, we're pioneering the future of science and medicine, developing products that enable researchers in the fight to save lives. What you'll do Reporting to the engineering lead, you will provide all Electrical and Mechanical support within the production area adopting a proactive / reactive mindset whilst resolving equipment breakdowns in a timely manner following all Health and Safety requirements. To ensure maximum machine available uptime through effective planned maintenance schedules and play an active role in the controlling and sourcing of equipment spares Involved with installation qualifications (Risk assessments, PUWER's, LOTO's and Maintenance Instructions). Working with process engineering, to monitor equipment performance, and strive for continuous improvement. Who you are Time served Apprenticeship (or equivalent formal qualifications, NVQ 3 / HNC / BTEC) in an Electrical/Mechanical discipline with PLC experience obtained within a manufacturing environment. Works well under time-bound pressure as part of a team, and independently. Highly motivated, with a strong focus on Safety, Quality, and Delivery. It would be Desirable if you also possess previous experience in: Vison systems (Keyence/Cognex). Maintenance experience working on Pharma production chillers and freeze driers. 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.

Be part of something altogether life-changing! Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40+ countries, Cytiva is a place where every day is a learning opportunity - so you can grow your career and expand your skills in the long term. Forming part of the Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to develop the next generation of life-changing therapeutics. The Principal Automation Engineer for Cytiva is responsible for setting the technical direction of Cytiva's automation platforms for our commercial unit operations and solutions by delivering standard and sustainable industrial automation technology to the business and our customers. This position is part of Automation Engineering, AD&L located in Harbourgate, Portsmouth, and will be on-site. At Cytiva, our vision is, to advance future therapeutics from discovery to delivery. What you will do: Drive the standardization of technologies across the business, including the definition and implementation of global standards for automation platforms, system architectures and software applications. Lead automation engineering teams in the definition, design and development of innovative industrial automation solutions as part of larger global project teams. Provide technical leadership, guidance, and mentoring for individuals and teams, ensuring alignment with industry best practices and standards. Engage with business stakeholders to understand core value drivers/requirements and apply insights to develop technology roadmaps describing the phased transformation from current to future. Drive measurable improvements in internal ways of working and solution delivery by application of modern and innovative engineering tools, procedures and practices. Who you are: Bachelor's Degree in Electrical Engineering, Computer Science, Computer Engineering or in "STEM" disciplines (Science, Technology, Engineering and Math) or equivalent. 10 + years' experience in the design and implementation of automation hardware and software for discrete and process control systems in multiple manufacturing sectors, including life sciences. Expert-level experience with PLC/PAC-based controllers, HMI/SCADA development, industry-recognized DCS systems and associated automation hardware/software. Preferred platforms include Siemens, Rockwell and or Inductive Automation. Expertise in the full development lifecycle. Recognized subject matter expert with knowledge of industry trends and emerging technologies related to automation and digitalization, ideally in life sciences. Travel Requirements: Ability to travel: 10 - 20% It would be a plus (but not essential) if you also possess previous experience in: Use of relational databases like MS SQL, coding in scripting languages like Python or high-level languages such as C#. Modern software development tools such as Git for version control or Azure DevOps for task management. IT/OT environments, industrial networking concepts, and the use of virtual machines. 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.

Be part of something altogether life-changing Working at Cytiva in the Life Sciences industry means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40 countries, Cytiva is a place where every day is a learning opportunity - so you can grow your career and expand your skills in the long term. Cytiva is proud to work alongside a community of nine fellow Danaher Life Sciences companies. Together, we're pioneering the future of science and medicine, developing products that enable researchers in the fight to save lives. What you'll do Reporting to the engineering lead, you will provide all Electrical and Mechanical support within the production area adopting a proactive / reactive mindset whilst resolving equipment breakdowns in a timely manner following all Health and Safety requirements. To ensure maximum machine available uptime through effective planned maintenance schedules and play an active role in the controlling and sourcing of equipment spares Involved with installation qualifications (Risk assessments, PUWER's, LOTO's and Maintenance Instructions). Working with process engineering, to monitor equipment performance, and strive for continuous improvement. Who you are Time served Apprenticeship (or equivalent formal qualifications, NVQ 3 / HNC / BTEC) in an Electrical/Mechanical discipline with PLC experience obtained within a manufacturing environment. Works well under time-bound pressure as part of a team, and independently. Highly motivated, with a strong focus on Safety, Quality, and Delivery. It would be Desirable if you also possess previous experience in: Vison systems (Keyence/Cognex). Maintenance experience working on Pharma production chillers and freeze driers. 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.

Be part of something altogether life-changing! Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40+ countries, Cytiva is a place where every day is a learning opportunity - so you can grow your career and expand your skills in the long term. Forming part of the Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to develop the next generation of life-changing therapeutics. The Principal Automation Engineer for Cytiva is responsible for setting the technical direction of Cytiva's automation platforms for our commercial unit operations and solutions by delivering standard and sustainable industrial automation technology to the business and our customers. This position is part of Automation Engineering, AD&L located in Harbourgate, Portsmouth, and will be on-site. At Cytiva, our vision is, to advance future therapeutics from discovery to delivery. What you will do: Drive the standardization of technologies across the business, including the definition and implementation of global standards for automation platforms, system architectures and software applications. Lead automation engineering teams in the definition, design and development of innovative industrial automation solutions as part of larger global project teams. Provide technical leadership, guidance, and mentoring for individuals and teams, ensuring alignment with industry best practices and standards. Engage with business stakeholders to understand core value drivers/requirements and apply insights to develop technology roadmaps describing the phased transformation from current to future. Drive measurable improvements in internal ways of working and solution delivery by application of modern and innovative engineering tools, procedures and practices. Who you are: Bachelor's Degree in Electrical Engineering, Computer Science, Computer Engineering or in "STEM" disciplines (Science, Technology, Engineering and Math) or equivalent. 10 + years' experience in the design and implementation of automation hardware and software for discrete and process control systems in multiple manufacturing sectors, including life sciences. Expert-level experience with PLC/PAC-based controllers, HMI/SCADA development, industry-recognized DCS systems and associated automation hardware/software. Preferred platforms include Siemens, Rockwell and or Inductive Automation. Expertise in the full development lifecycle. Recognized subject matter expert with knowledge of industry trends and emerging technologies related to automation and digitalization, ideally in life sciences. Travel Requirements: Ability to travel: 10 - 20% It would be a plus (but not essential) if you also possess previous experience in: Use of relational databases like MS SQL, coding in scripting languages like Python or high-level languages such as C#. Modern software development tools such as Git for version control or Azure DevOps for task management. IT/OT environments, industrial networking concepts, and the use of virtual machines. 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.