Senior Scientist, Computational Biology

About the position The Senior Scientist in Computational Biology at Takeda will play a crucial role in supporting clinical-stage portfolios, focusing on biomarker discovery and biomarker-driven early clinical studies for immune and inflammatory diseases. This position involves applying advanced bioinformatics and AI/ML strategies to analyze multi-omic data, contributing to the development of innovative analytical strategies and supporting decision-making in early-stage clinical trials. The role requires collaboration with various stakeholders and may involve managing early-stage project teams. Responsibilities • Leverage high-dimensional datasets, including multi-omics data, to discover biomarkers and stratify patients. , • Perform data integration and network/pathway analysis to understand mechanisms of action. , • Apply AI/ML tools and generative AI models for biomarker discovery and integrate findings with existing knowledge. , • Prepare and present technical and scientific reports for internal and external audiences. , • Collaborate closely with project teams to influence experimental design and data analysis. , • Participate in due diligence for external opportunities as needed. , • Independently design and execute research projects in collaboration with translational scientists. Requirements • PhD in Computational Biology or Bioinformatics with 3+ years post-doctoral experience, or MS with 9+ years experience, or BS with 11+ years experience. , • Strong background in multi-omics biomarker analysis. , • Experience with proteomics, single-cell and spatial transcriptomics or spatial high-content imaging data is preferred. , • Knowledge of drug development and experience in a matrix team environment. , • Experience with AI/ML, statistical analysis, including regression analysis, multivariate data analysis, and mixed-effects modeling is preferred. , • Proficiency in Unix/Linux, command line interfaces, and scripting/programming languages (R, Python) for multi-omics analysis. , • Proficient in developing data strategies and integrating multi-omic and genome-wide datasets. , • Experienced in large-scale omics, high-throughput data analysis, network analysis, meta-analyses and AI/ML models for translational research. Nice-to-haves • Experience with AI/ML tools and generative AI models for biomarker discovery. , • Experience in managing early-stage matrix project teams. Benefits • Medical, dental, and vision insurance , • 401(k) plan with company match , • Short-term and long-term disability coverage , • Basic life insurance , • Tuition reimbursement program , • Paid volunteer time off , • Company holidays , • Well-being benefits , • Sick time and paid vacation accrual Apply tot his job