Gsk
Oncology
PrincipalScientist
“Principal Scientist at Gsk. Skills: Computational Biology, Machine Learning, Multi-omics Integration, Data Analysis. Analyze and integrate complex multi-omics and clinical data. Develop and apply advanced models”
What You'll Achieve.
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; directly supporting GSK's ambitious goal to deliver transformative oncology therapeutics to patients; making data-driven approaches more interpretable, robust, and actionable; drive decision-making insights; predict and influence disease trajectories; translating complex data into actionable insights for drug discovery; support better therapeutic decision-making; advance our oncology portfolio
Industry & Context.
analytical and modeling skills; 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
Develop and apply advanced models
Investigate biological context and mechanisms
Collaborate with experimental scientists
Contribute to development of frameworks and tools
Communicate scientific findings clearly
Maintain current knowledge of advancements
How You'll Work.
Team & Collaboration
Ability to work effectively in interdisciplinary and collaborative teams; Collaborate closely with experimental scientists; Communicate complex scientific findings clearly to both technical and non-technical audiences; 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
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