Senior Scientist, Computational Biology

Takeda Pharmaceutical Company - Boston, MA

Full-time - Senior

Remote - Boston, MA

Chemical Manufacturing

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