WISE Campaign

Job description Site Name: UK - Hertfordshire - Stevenage Posted Date: Apr 9 2026 We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in office work. Principal Scientist Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities In this role you will Provide technical expertise to design / develop / optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Closing Date for Applications: 24th April 2026 GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

A leading research organization in Stevenage is seeking a Principal Scientist Automation for Cell Culture to join its Oncology Translational Research team. The role involves designing automated platforms, collaborating with scientists and engineers, and advancing cancer treatment methodologies. Candidates should have a relevant Bachelor's degree and experience in liquid handling systems and automation within research environments. This position offers a hybrid working model providing flexibility between remote and in-office work.

Statistics (Biostatistics) Graduate Rotational Programme, UK, 2026 Join the GSK R&D 2026 Statistics (Biostatistics) Graduate Programme: Help us get ahead of disease together Education required: MSc degree from an accredited college/university in statistics, with a strong biostatistics or medical statistics focus. Course completion by September 2026. Language requirement: Written and spoken fluency in English. Coding requirements: Using statistical software and coding for analysis; knowledge & experience with R is essential and will be assessed. Location: Stevenage/GSK HQ, London. Willingness to be geographically mobile (domestic) throughout rotations. Expected start date: October 2026. Application Information: You can apply to only one GSK Graduate Programme. Application deadline: Applications reviewed on a rolling basis, and this role will close once we have received enough relevant applications. We recommend you apply as soon as possible to avoid disappointment. Assessment Centre Date: May/June 2026. See what our graduate programme participants have to say about their experiences in our GSK Graduate Programmes. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world by 2030. Statistics is central to how we make confident decisions in R&D. Our vision is to accelerate the discovery and development of medicines and vaccines through industry leading advances in transforming data into knowledge. This means combining strong statistical fundamentals with modern ways of working: leveraging new data at scale, using open source analytics, responsibly adopting AI enabled tools and automation, and building a culture with a growth mindset where people are supported to thrive. Ahead together with tailored training and career development - join a team of industry leading statisticians and methodologist experts, embedding quantitative decision making to take smart risks and improve the probability of study and programme success. Over two years, the programme provides hands on experience and mentoring through rotations across priority organisations and project areas. Throughout the programme, you will work closely with multidisciplinary colleagues, supporting progress across the portfolio to get ahead of disease together. What will you do? Contribute to study delivery under supervision, supporting lead statisticians on defined work packages and agreed timelines. Provide statistical input to the design, analysis, reporting and interpretation of studies, including drafting sections of analysis plans and key documents with guidance. Perform statistical analyses and produce clear outputs using appropriate tools, applying reproducible practices and quality checks to own work. Communicate progress, results and recommendations clearly to technical and non technical colleagues, adapting messages to the audience and incorporating feedback. Build and maintain effective working relationships within multi disciplinary teams, collaborating with internal partners and (where appropriate) supporting external interactions under guidance. Contribute to innovation and continuous improvement by exploring new approaches (e.g., modelling, simulation, GenAI, ML, and other modern methods) where appropriate and with support, sharing learnings with the team. Participate in peer review and team discussions, helping strengthen consistency, rigour and good practice across deliverables. Gain experience across the end to end development lifecycle through rotations (from early development through registration and lifecycle support), building breadth and confidence over time. What are we looking for? MSc degree from an accredited college/university in statistics, with a strong biostatistics or medical statistics focus. Course completion by September 2026. Using statistical software and coding for analysis; knowledge & experience with R is essential. Practical and technical understanding of statistical inference, Bayesian methodology, modelling, and motivation to apply methods to real development questions. Ability to deliver accurate, high quality work with strong attention to detail, documentation and data integrity. Clear written and verbal communication in English, including ability to explain statistical ideas in plain language and keep supervisors informed of progress and challenges. Collaborative mindset and evidence of working effectively in teams and proactively seeking input when needed. Strong organisation, time management and prioritisation skills; ability to manage tasks to agreed timelines. Learning agility, resilience and a growth mindset - openness to feedback and commitment to building capability in technical skills and critical business skills across rotations. What do we offer you? A competitive salary, with an annual bonus based on company performance. Relocation Allowance (eligibility will be confirmed once your first location is confirmed). Employee recognition programs, which reward exceptional achievements. Access to our cutting edge wellbeing platform: personalise your experience, help reduce stress, increase focus, build connections and resilience. You will also have access to a confidential helpline 24/7, mindfulness, health screenings and financial wellbeing support. Access to Private Healthcare Insurance, including 24 hour access to an online GP. Additional Support through salary sacrifice including: identity protection, long term care insurance, home, auto, and pet insurance. Option to opt into our share save plan which gives you long term incentives by linking your rewards to our longer term performance. Engage with Employee Resource Groups, providing opportunities to network, gain mentorship, and grow personally and professionally. Access to TalNet, which are communities of Early Careers programme participants offering development, networking and social connections to help you make the best of your programme. 2 volunteering days per year, called "Together Days". Apply now! Need help with your application? Please email us at and let us know how we can help you. For UK Intern roles (including Industrial Placements) you can either call us on , or send an email . For UK Apprentice and Graduate Programme roles you can either call us on , or send an email . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Statistics (Biostatistics) Graduate Rotational Programme, UK, 2026 Join the GSK R&D 2026 Statistics (Biostatistics) Graduate Programme: Help us get ahead of disease together Education required: MSc degree from an accredited college/university in statistics, with a strong biostatistics or medical statistics focus. Course completion by September 2026. Language requirement: Written and spoken fluency in English. Coding requirements: Using statistical software and coding for analysis; knowledge & experience with R is essential and will be assessed. Location: Stevenage/GSK HQ, London. Willingness to be geographically mobile (domestic) throughout rotations. Expected start date: October 2026. Application Information: You can apply to only one GSK Graduate Programme. Application deadline: Applications reviewed on a rolling basis, and this role will close once we have received enough relevant applications. We recommend you apply as soon as possible to avoid disappointment. Assessment Centre Date: May/June 2026. See what our graduate programme participants have to say about their experiences in our GSK Graduate Programmes. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world by 2030. Statistics is central to how we make confident decisions in R&D. Our vision is to accelerate the discovery and development of medicines and vaccines through industry leading advances in transforming data into knowledge. This means combining strong statistical fundamentals with modern ways of working: leveraging new data at scale, using open source analytics, responsibly adopting AI enabled tools and automation, and building a culture with a growth mindset where people are supported to thrive. Ahead together with tailored training and career development - join a team of industry leading statisticians and methodologist experts, embedding quantitative decision making to take smart risks and improve the probability of study and programme success. Over two years, the programme provides hands on experience and mentoring through rotations across priority organisations and project areas. Throughout the programme, you will work closely with multidisciplinary colleagues, supporting progress across the portfolio to get ahead of disease together. What will you do? Contribute to study delivery under supervision, supporting lead statisticians on defined work packages and agreed timelines. Provide statistical input to the design, analysis, reporting and interpretation of studies, including drafting sections of analysis plans and key documents with guidance. Perform statistical analyses and produce clear outputs using appropriate tools, applying reproducible practices and quality checks to own work. Communicate progress, results and recommendations clearly to technical and non technical colleagues, adapting messages to the audience and incorporating feedback. Build and maintain effective working relationships within multi disciplinary teams, collaborating with internal partners and (where appropriate) supporting external interactions under guidance. Contribute to innovation and continuous improvement by exploring new approaches (e.g., modelling, simulation, GenAI, ML, and other modern methods) where appropriate and with support, sharing learnings with the team. Participate in peer review and team discussions, helping strengthen consistency, rigour and good practice across deliverables. Gain experience across the end to end development lifecycle through rotations (from early development through registration and lifecycle support), building breadth and confidence over time. What are we looking for? MSc degree from an accredited college/university in statistics, with a strong biostatistics or medical statistics focus. Course completion by September 2026. Using statistical software and coding for analysis; knowledge & experience with R is essential. Practical and technical understanding of statistical inference, Bayesian methodology, modelling, and motivation to apply methods to real development questions. Ability to deliver accurate, high quality work with strong attention to detail, documentation and data integrity. Clear written and verbal communication in English, including ability to explain statistical ideas in plain language and keep supervisors informed of progress and challenges. Collaborative mindset and evidence of working effectively in teams and proactively seeking input when needed. Strong organisation, time management and prioritisation skills; ability to manage tasks to agreed timelines. Learning agility, resilience and a growth mindset - openness to feedback and commitment to building capability in technical skills and critical business skills across rotations. What do we offer you? A competitive salary, with an annual bonus based on company performance. Relocation Allowance (eligibility will be confirmed once your first location is confirmed). Employee recognition programs, which reward exceptional achievements. Access to our cutting edge wellbeing platform: personalise your experience, help reduce stress, increase focus, build connections and resilience. You will also have access to a confidential helpline 24/7, mindfulness, health screenings and financial wellbeing support. Access to Private Healthcare Insurance, including 24 hour access to an online GP. Additional Support through salary sacrifice including: identity protection, long term care insurance, home, auto, and pet insurance. Option to opt into our share save plan which gives you long term incentives by linking your rewards to our longer term performance. Engage with Employee Resource Groups, providing opportunities to network, gain mentorship, and grow personally and professionally. Access to TalNet, which are communities of Early Careers programme participants offering development, networking and social connections to help you make the best of your programme. 2 volunteering days per year, called "Together Days". Apply now! Need help with your application? Please email us at and let us know how we can help you. For UK Intern roles (including Industrial Placements) you can either call us on , or send an email . For UK Apprentice and Graduate Programme roles you can either call us on , or send an email . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Job description Site Name: London The Stanley Building Posted Date: Feb At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. We are looking for a Director of AI/ML Engineering to lead a team focused on clinical AI. In this role you will lead a high performing team of ML Engineers to design, develop, and deploy production grade AI/ML products that accelerate GSK's drug development programs. You will be accountable for building end to end clinical AI/ML solutions-from problem framing and data strategy, through model development and validation, to deployment and lifecycle management in production environments that support clinical trials and regulatory decision making. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. As a Director of AI/ML Engineering you will: Define an AI/ML strategy for clinical development, aligned with program and portfolio objectives. Identify high impact use cases across the clinical pipeline (e.g. patient segmentation using multimodal data, and predictive models for disease progression, treatment response, and clinical outcomes in priority diseases). Be a standard bearer for data science and software engineering best practices within the organisation. Collaborate with platform teams to ensure robust, secure, and scalable data infrastructure in cloud environments. Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery. Drive an interview process to enable team growth. Maintain a safe and inclusive team environment in which people thrive. Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization. Develop a high performing team through coaching, feedback and ensuring opportunities for growth. Why You? Basic Qualifications Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. 5+ years of experience applying AI/ML in industry within pharmaceutical, biotech or closely related domains 5+ years experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices 2+ years experience in a technical lead or engineering manager role with direct reports Track record as an independent contributor capable of end to end development of ML powered products Advanced Python programming skills and a track record of delivering robust software solutions Proficiency with standard deep learning algorithms and model architectures In depth knowledge in machine learning best practices, scalable training and deployment Experience operating in cloud environments (e.g., Azure, AWS, or GCP) Strong product mindset-focus on user needs, adoption, and measurable value Strong communication skills-able to translate complex technical concepts into language understandable by clinicians, statisticians, and business leaders. Preferred Qualifications PhD in Machine Learning Peer reviewed publications in major AI conferences Experience with foundation models, representation learning, and transfer learning on biomedical data Multimodal modelling across structured, unstructured, and imaging data Time series modelling Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at