Gsk
Biopharma
PrincipalScientist,OncologyDataScience
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Scientist, Oncology Data Science at Gsk. Skills: Computational Biology, Bioinformatics, Systems Biology, multi-omics data integration, disease modeling, machine learning, statistical modeling, Python, R. Analyze and integrate complex multi-omics and clinical data to characterize disease heterogeneity and drive decision-making insights. Develop and apply advanced models that capture disease states and their evolution, to predict and influence disease trajectories”
What You'll Achieve.
shifting our understanding and treatment of cancer; characterize disease heterogeneity; model how disease changes over time and under treatment; investigate how biological context influences treatment response and resistance; shaping, disease trajectories in a biologically meaningful way; deliver transformative oncology therapeutics to patients; making data-driven approaches more interpretable, robust, and actionable; drive decision-making insights; predict and influence disease trajectories; advance our oncology portfolio; support better therapeutic decision-making
Industry & Context.
tackling real questions
What They're Looking For.
Must Have
PhD (or equivalent experience) with postdoc/industry experience in Computational Biology, Bioinformatics, Systems Biology, or a related field, understanding of biological mechanisms and disease processes, particularly within oncology, Proven experience working with high-dimensional biological data, analytical and modeling skills, including expertise in statistical or machine learning approaches, Experience in systems biology and/or network analysis, Ability to work effectively in interdisciplinary and collaborative teams, Proficiency in programming languages such as Python or R for data analysis and model development
Nice to Have
Experience with spatial transcriptomics and/or proteomics analysis, Experience with multi-omics integration or trajectory inference methods, Familiarity with advanced machine learning methods, including deep learning, Experience working with perturbation or longitudinal data, Highly independent, eager to learn new areas, and build expertise, with a sense of accountability, Excellent written and oral communication skills, with the ability to present complex data to varied audiences
What You'll Do.
Analyze and integrate complex multi-omics and clinical data to characterize disease heterogeneity and drive decision-making insights
Develop and apply advanced models that capture disease states and their evolution
to predict and influence disease trajectories
Investigate how biological context and underlying mechanisms influence treatment response and resistance
Collaborate closely with experimental scientists to generate and test mechanistic hypotheses
translating complex data into actionable insights for drug discovery
Contribute to the development of frameworks and computational tools that support better therapeutic decision-making and advance our oncology portfolio
Communicate complex scientific findings clearly to both technical and non-technical audiences
acting as a subject matter expert within interdisciplinary teams
Maintain current knowledge of advancements in cancer research
computational biology
How You'll Work.
Team & Collaboration
Collaborate closely with experimental and clinical teams; Ability to work effectively in interdisciplinary and collaborative teams; acting as a subject matter expert within interdisciplinary teams
Communication Scope
Communicate complex scientific findings clearly to both technical and non-technical audiences; Excellent written and oral communication skills; ability to present complex data to varied audiences
Full Job Description
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. Discover more about our company wide benefits and life at GSK on our webpage [Life at GSK | GSK](https://www.gsk.com/en-gb/careers/life-at-gsk/) **Principal Scientist, Oncology Data Science** Are you passionate about leveraging cutting-edge computational approaches to revolutionize our understanding and treatment of cancer? If so, this is an exciting opportunity to join GSK's Oncology team and contribute to our mission of getting ahead of disease together. **Overview** The GSK Oncology team is seeking a highly motivated computational biologist to play a pivotal role in shifting our understanding of cancer. While many models in oncology focus solely on predicting outcomes, we are dedicated to developing new approaches that understand disease not as static labels or endpoints, but as dynamic, evolving biological states. By integrating (bulk, single cell and spatial) multi-omics and clinical data, you will characterize disease heterogeneity, model how disease changes over time and under treatment, and investigate how biological context influences treatment response and resistance. This work focuses on understanding, and ultimately shaping, disease trajectories in a biologically meaningful way, directly supporting GSK's ambitious goal to deliver transformative oncology therapeutics to patients. You will work at the interface of data, biology, and experimentation, tackling real questions in close collaboration with experimental and clinical teams, with the goal of making data-driven approaches more interpretable, robust,
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