Principal Scientist, Oncology Data Science (Translational Science)

The GSK Oncology Data Science team in R&D Translational Science is seeking a Translational AI scientist to build ML applications for a long-sought-after problem: if we alter a patient tumor's molecular state in silico, can we predict how their clinical trajectory will change? To tackle this problem, you will integrate and validate multimodal foundation models; bridge functional genomics, spatial omics, and real-world data; and apply cutting-edge causal inference techniques.

What You Will Do

Own the pipeline and develop advanced ML architectures to integrate complex multimodal datasets, including single-cell, spatial omics, histopathology, functional genomics, and real-world clinical data. Partner closely with wet-lab scientists, clinicians, and pathologists to validate machine learning models, including in-silico perturbations within the tumor microenvironment against ground-truth data (counterfactual validation).

Why It Might Be a Fit

You will drive our efforts to bring the right therapies to the right patients. Your expertise, execution, technical leadership, and communication will be key to our success.

Requirements

• PhD (or equivalent experience) in a quantitative field (Applied ML, Computer Science, Physics, Systems/Computational Biology, or equivalent)
• 1+ years of industry or productive post-doctoral academic experience
• Experience with deeply embedded in cancer / computational biology, with a strong understanding of tumor microenvironment dynamics and high-dimensional datasets
• Experience with analytical and modelling skills, including expertise in statistical and machine learning approaches
• Experience with the analysis of single-cell omics data
• Experience in one or more of the following: statistical modelling of functional genomics screening datasets (e.g., bulk CRISPR screens, Perturb-seq) or spatial omics
• Experience in Python and deep learning frameworks (PyTorch) for data processing and machine learning model development, with a strong grasp of software engineering fundamentals (e.g., version control, modular design, CI/CD)

Benefits

• Annual bonus
• Eligibility to participate in our share-based long-term incentive program
• Health care and other insurance benefits (for employee and family)
• Retirement benefits
• Paid holidays
• Vacation
• Paid caregiver/parental and medical leave