Director, Integrative Sciences
About The Position
GSK is seeking a visionary leader to join its Oncology Translational Medicine Integrative Sciences team. The Director of Integrative Sciences will drive innovation in diagnostic technology platforms and apply oncology foundational models, real-world data, multi-modal omics, AI/ML, computational pathology, and biomarker discovery to improve understanding and treatment of cancer. The role will help shape biomarker, diagnostic, and clinical development strategies, particularly for antibody-drug conjugates (ADCs), T cell engagers, and other advanced therapeutic modalities, while analyzing clinical-trial biomarker data to support translational medicine. The Director will lead development and use of emerging analytical and diagnostic technologies, integrate complex data into translational medicine and clinical development strategies, and communicate findings to cross-functional teams and stakeholders. The position also supports evaluation of external partnerships and technology platforms and contributes expertise to business-development due diligence. For candidates based at the Stevenage site, the role will initially be based there. GSK plans to relocate its offices to Cambridge, UK, and the role’s location is expected to change accordingly; the relocation is currently proposed to take effect by early 2029. The posting describes a hybrid working model through GSK’s Performance with Choice programme.
Requirements
- PhD degree or equivalent experience/training in computational biology, bioinformatics, machine learning, computational pathology, or a related field.
- At least 7 years of applied experience in Pharma/Biotech or an academic setting focused on oncology research, diagnostic innovation, and biomarker analysis.
- Demonstrated ability to lead and influence cross-functional teams in a matrix environment and deliver impactful outcomes.
- Experience with emerging diagnostic platforms and technologies and their application to translational medicine and clinical development.
- Advanced knowledge of statistical and analytical methods for complex, high-dimensional, heterogeneous datasets.
- Experience with GitHub, developing R Shiny applications and/or R Markdown, and working in cloud or high-performance computing environments.
Nice To Haves
- MD degree with oncology clinical development experience.
- Expertise in oncology foundational models and AI/ML approaches applied to complex biomarker datasets.
- Coding proficiency, such as R or Python, and strong working knowledge of bioinformatics databases, resources, and tools.
- Experience analyzing and interpreting high-dimensional datasets, such as single-cell and spatial transcriptomics, proteomics, and cfDNA, using advanced modeling techniques.
- Experience with computational pathology and AI-driven image analysis for diagnostic innovation.
- Strong knowledge of clinical-trial biomarker data analysis and its application to precision medicine strategies.
- Experience with ADCs and their associated biomarker and diagnostic strategies.
- Leadership experience driving diagnostic innovation and implementing emerging technologies in oncology research.
- A strong track record integrating preclinical and clinical biomarker data to inform translational medicine strategies.
- Familiarity with regulatory requirements and data standards for transitioning programs into clinical trials.
- Strategic mindset and ability to influence and drive decision-making in a matrix environment.
Responsibilities
- Lead innovation in diagnostic technologies, including ctDNA, computational pathology, advanced imaging, and multi-modal biomarker platforms, to improve patient stratification, therapeutic targeting, and mechanism-of-action insights.
- Develop and apply oncology foundational models and AI/ML approaches to clinical, real-world, and biomarker datasets, including single-cell transcriptomics, spatial omics, proteomics, and cfDNA.
- Serve as a subject matter expert in analytical methods and emerging diagnostic technologies for biomarker discovery and diagnostic strategies that optimize patient selection, dose determination, and combination therapies, particularly for ADCs.
- Oversee integration of oncology foundational models into translational medicine and clinical development strategies, ensuring robust interpretation, practical implementation, and timely communication across matrix teams.
- Collaborate with clinical development, CPMS, Diagnostic, Translational Research, and AI/ML teams to assess and apply complementary analytics to complex biological questions.
- Identify, evaluate, and implement emerging technology platforms to advance diagnostic innovation and support pipeline growth.
- Lead clear, timely communication of data-analysis outputs, analytical principles, and models to diverse stakeholders, including senior leaders and non-technical partners.
- Champion integration of biomarker and diagnostic strategies into clinical development plans in alignment with oncology research unit and translational medicine objectives.
- Drive computational pathology and AI-driven image analysis to enhance diagnostic capabilities and biomarker discovery in oncology programs.
- Support evaluation of academic partnerships and external technology platforms for alignment with Oncology Translational Medicine goals and innovation priorities.
- Contribute to business-development due diligence using expertise in advanced analytics and emerging diagnostic technologies.
- Analyze clinical-trial biomarker data to enable translational medicine approaches.
Benefits
- Competitive salary
- Annual bonus based on company performance
- Healthcare and wellbeing programmes
- Pension plan membership
- Shares and savings programme
- Health care and other insurance benefits for employees and their families
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver, parental, and medical leave
- Eligibility to participate in a share-based long-term incentive program, depending on role level
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree
