201 to 225 of 283 Life Science Jobs in the UK

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy … engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package More ❯

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy … engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package More ❯

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy … engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package More ❯

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy … engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package More ❯

Overview Active Silicon is a market leader in the design and manufacture of leading-edge computer imaging products.These products are used in many areas of science and industry, including manufacturing, life sciences, medical imaging, robotics and security, with many products targeted to specific customer requirements.The current range of products can be seen on the company's website.The … Health Scheme including: Corporate Health Cash Plan including cover for dependents Employee Assistance Programme Discounted gym membership Retail discount scheme Wellbeing app Qualifications: A Bachelors or Masters in Computer Science or Electrical Engineering Experience: Any professional experience working with C/C++ is advantageous The type of person we are looking for The right candidate is likely to have … a good Computer Science or Electrical Engineering degree, plus perhaps other post-graduate qualifications and experience of software development, preferably in C/C++.One of the most important traits is the desire, drive and enthusiasm to produce the world's best-in-class products. The Role This is an opportunity to join a diverse development team designing, producing and More ❯

a modern AI consultancy that's been delivering real-world machine learning solutions for over a decade - long before it became fashionable. With a strong reputation across Defence, Life Sciences, Energy, and Financial Services, they operate at the leading edge of applied AI, with a delivery-focused, full-stack mindset. This isn't old-school consulting. It's … with Python, ML libraries (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow), and statistical modelling Translate real-world problems into mathematical frameworks and deploy scalable solutions Contribute to the wider data science community through thought leadership, teaching, and open-source contributions What You'll Bring: Senior-level experience in data science, quantitative research, or applied machine learning Strong Python skills … and proficiency with ML libraries and frameworks Experience leading teams or managing technical delivery across client-facing projects Depth in a wide range of data science techniques: supervised/unsupervised learning, time-series analysis, NLP, Bayesian inference, etc. A pragmatic, scientific mindset with commercial acumen and a drive for real-world impact Excellent communication and stakeholder engagement skills Proven More ❯

that spans regulated biopharma workflows, cloud-native infrastructure, and AI/ML experimentation at scale. Key Responsibilities Design and implement a unified compliance framework across AI, cyber, and life sciences regulatory domains. Own and drive the strategic programme for ISO 27001 certification and ongoing ISMS operations. Develop and maintain security policies and procedures, tailored for an AI-first … from identification to mitigation and communication. Practical experience with privacy and data lifecycle controls, including audit trails, de-identification, and retention. Industry experience in either the AI or life sciences sector, with awareness of domain-specific risk landscapes. Strong stakeholder management skills with an ability to influence across technical and scientific domains. Nice to Have Familiarity with AI … to public frameworks. Working Model & Culture Hybrid working (3 days onsite – typically Tuesday, Wednesday + 1 flexible day) Fast-paced, cross-functional environment with a focus on high-integrity science and rapid delivery. Culture built on intellectual humility, ambition, and collaboration across disciplines. Commitment to diversity, equity, and belonging in every aspect of work and culture. More ❯

that spans regulated biopharma workflows, cloud-native infrastructure, and AI/ML experimentation at scale. Key Responsibilities Design and implement a unified compliance framework across AI, cyber, and life sciences regulatory domains. Own and drive the strategic programme for ISO 27001 certification and ongoing ISMS operations. Develop and maintain security policies and procedures, tailored for an AI-first … from identification to mitigation and communication. Practical experience with privacy and data lifecycle controls, including audit trails, de-identification, and retention. Industry experience in either the AI or life sciences sector, with awareness of domain-specific risk landscapes. Strong stakeholder management skills with an ability to influence across technical and scientific domains. Nice to Have Familiarity with AI … to public frameworks. Working Model & Culture Hybrid working (3 days onsite – typically Tuesday, Wednesday + 1 flexible day) Fast-paced, cross-functional environment with a focus on high-integrity science and rapid delivery. Culture built on intellectual humility, ambition, and collaboration across disciplines. Commitment to diversity, equity, and belonging in every aspect of work and culture. More ❯

that spans regulated biopharma workflows, cloud-native infrastructure, and AI/ML experimentation at scale. Key Responsibilities Design and implement a unified compliance framework across AI, cyber, and life sciences regulatory domains. Own and drive the strategic programme for ISO 27001 certification and ongoing ISMS operations. Develop and maintain security policies and procedures, tailored for an AI-first … from identification to mitigation and communication. Practical experience with privacy and data lifecycle controls, including audit trails, de-identification, and retention. Industry experience in either the AI or life sciences sector, with awareness of domain-specific risk landscapes. Strong stakeholder management skills with an ability to influence across technical and scientific domains. Nice to Have Familiarity with AI … to public frameworks. Working Model & Culture Hybrid working (3 days onsite – typically Tuesday, Wednesday + 1 flexible day) Fast-paced, cross-functional environment with a focus on high-integrity science and rapid delivery. Culture built on intellectual humility, ambition, and collaboration across disciplines. Commitment to diversity, equity, and belonging in every aspect of work and culture. More ❯

that spans regulated biopharma workflows, cloud-native infrastructure, and AI/ML experimentation at scale. Key Responsibilities Design and implement a unified compliance framework across AI, cyber, and life sciences regulatory domains. Own and drive the strategic programme for ISO 27001 certification and ongoing ISMS operations. Develop and maintain security policies and procedures, tailored for an AI-first … from identification to mitigation and communication. Practical experience with privacy and data lifecycle controls, including audit trails, de-identification, and retention. Industry experience in either the AI or life sciences sector, with awareness of domain-specific risk landscapes. Strong stakeholder management skills with an ability to influence across technical and scientific domains. Nice to Have Familiarity with AI … to public frameworks. Working Model & Culture Hybrid working (3 days onsite – typically Tuesday, Wednesday + 1 flexible day) Fast-paced, cross-functional environment with a focus on high-integrity science and rapid delivery. Culture built on intellectual humility, ambition, and collaboration across disciplines. Commitment to diversity, equity, and belonging in every aspect of work and culture. More ❯

that spans regulated biopharma workflows, cloud-native infrastructure, and AI/ML experimentation at scale. Key Responsibilities Design and implement a unified compliance framework across AI, cyber, and life sciences regulatory domains. Own and drive the strategic programme for ISO 27001 certification and ongoing ISMS operations. Develop and maintain security policies and procedures, tailored for an AI-first … from identification to mitigation and communication. Practical experience with privacy and data lifecycle controls, including audit trails, de-identification, and retention. Industry experience in either the AI or life sciences sector, with awareness of domain-specific risk landscapes. Strong stakeholder management skills with an ability to influence across technical and scientific domains. Nice to Have Familiarity with AI … to public frameworks. Working Model & Culture Hybrid working (3 days onsite – typically Tuesday, Wednesday + 1 flexible day) Fast-paced, cross-functional environment with a focus on high-integrity science and rapid delivery. Culture built on intellectual humility, ambition, and collaboration across disciplines. Commitment to diversity, equity, and belonging in every aspect of work and culture. More ❯

and implementation of clinical data standards. Develop and maintain standard CRF mockups, questionnaires, validation rule specifications, and integrations (e.g., IWRS). Qualifications Education & Experience: Bachelor's degree in Life Sciences, Computer Sciences, or equivalent experience. Minimum of 2 years' relevant operational experience in clinical data management or data standards. Technical Skills: Strong expertise in Rave eDC (Medidata Solutions … your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs Competitive … Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family's well-being Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others Visit our careers website to read more More ❯

Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and … uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect onX (formerly Twitter More ❯

worked in the market research sector to support the group win new business primarily but not exclusively from the key target sectors (financial services, technology, media & entertainment, health & life sciences, consumer & retail, travel & Leisure, energy & utilities and b2b). Some of our key clients include AMEX, Microsoft, Nestle. Sanofi, Shell, ITV and many others. The products and services … annum) A contributory group personal pension scheme, to which we contribute 4% of Qualified Banded earnings to each team member's gross salary A Westfield Health cash plan Life assurance scheme at 4 x salary Long Term Service Awards Charity Donation Matching (up to £100) Generous staff ents programme Recruitment process The cycle comprehends three interviews. To start More ❯

Acquisition Partner to lead their talent agenda in collaboration with the Director of People and Culture.This dynamic organisation is renowned for delivering cutting-edge solutions in customer strategy, data science, and digital transformation. With a strong reputation across sectors including financial services, energy, and life sciences, they are entering an exciting phase of innovation and expansion-making … CIPD, SHRM) are desirable. Proven experience in talent acquisition, ideally within a fast-paced or professional services environment. Ideally, you will have worked successfully in a specialist Technology or Science-based Talent Acquisition role. Strong understanding of recruitment best practices, sourcing strategies, and employer branding, with experience leveraging technology and data to drive hiring outcomes. Excellent interpersonal and communication … for attracting top talent and enhancing organisational capability. What you will get in returnThis organisation offers a competitive remuneration and benefits package and can offer a great work-life balance and the flexibility you require. What You Need To Do Now If you're interested in this role, click 'apply now' to forward an up-to-date copy More ❯

onsite teams, and collaborate with stakeholders to build and present business cases for new solutions. You'll be instrumental in driving operational readiness and digital transformation across our Life Sciences customer base. This is a full-time, field-based position with up to 80% travel to customer locations. Alongside an attractive salary, we offer multiple benefits such as … enhance lab operations and customer experience. You'll belong to ourLab and Production Servicesdepartment, which supports major pharmaceutical companies and laboratories worldwide in Research and Development within the Life Sciences industry. What we're looking for Education: GCSE or equivalent secondary school qualification (A-levels, vocational certifications, or a degree in a relevant field such as Life … and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in More ❯

We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and … AI technologies. Key Responsibilities Develop and implement AI-driven solutions for complex data science challenges. Work with Large Language Models (LLMs) to create and optimize intelligent systems. Collaborate with cross-functional teams to ensure solutions meet project requirements. Contribute to projects in the pharma/life sciences domain (if applicable). Requirements Minimum 5 years of experience … in AI solution development. Hands-on experience with Large Language Models (LLMs). Proven track record as a Data Science Developer/Engineer. More ❯

Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing … within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept … graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing … within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept … graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing … within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept … graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing … within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept … graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing … within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept … graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

a-kind biotech start up in West London, with state of the art labs and offices in West London (W12) . Working at the very cutting edge of life sciences, the Data Scientists will get the opportnuity to handle and analyse a diverse range of scientific data, implementing machine learning techniques and tools. Key Responsibilities Build scripts and … e.g. plots, dashboards). Comfortable working in Jupyter Notebooks and collaborating with experimental teams. A degree (BSc or MSc) in a quantitative field such as Biology, Bioinformatics, Statistics, Data Science, or related discipline. There is an excellent salary and benefits package on offer in addition to hybrid working. Bond Williams Professional Recruitment are an equal opportunity employer and operate More ❯

SAP (ideally S/4HANA) to support data design, integration, and reporting across clinical supply systems. Must-haves: Proven experience in data design within clinical supply chain or life sciences environments. Strong change and engagement skills Proven task, team, and stakeholder management SAP and S/4HANA proficiency Strong understanding of SAP systems, especially S/4HANA, and … their application in clinical supply management. Excellent team leadership and task management capabilities. Familiarity with regulatory requirements and data governance in clinical trials. Plusses: Degree in Life Sciences, Supply Chain, Data Management, or a related field. Experience in GxP-regulated environments and clinical trial logistics. Certification in SAP or data architecture frameworks. More ❯

SAP (ideally S/4HANA) to support data design, integration, and reporting across clinical supply systems. Must-haves: Proven experience in data design within clinical supply chain or life sciences environments. Strong change and engagement skills Proven task, team, and stakeholder management SAP and S/4HANA proficiency Strong understanding of SAP systems, especially S/4HANA, and … their application in clinical supply management. Excellent team leadership and task management capabilities. Familiarity with regulatory requirements and data governance in clinical trials. Plusses: Degree in Life Sciences, Supply Chain, Data Management, or a related field. Experience in GxP-regulated environments and clinical trial logistics. Certification in SAP or data architecture frameworks. More ❯