Director, Data Products & Reproducibility (Oncology AI)

USA - 3316 Takeda Development Center Americas, Inc.; Cambridge (MA); Hybrid; USD 154,000 - 243,000; Full time

Benefits offered by this job

Hybrid work policy

Job summary

The role emphasizes strong scientific judgment, data stewardship, and collaboration with biology, translational, pharmacology, and drug discovery teams to drive rigorous computational solutions.

Qualifications

• PhD in Computational Biology or related field with 7+ years post-degree experience.
• Demonstrated scientific impact through publications, methods, or recognitions.
• Strong engineering practices for reproducibility: versioning, testing, docs, provenance.

Responsibilities

• Set scientific and technical direction for oncology computational biology capabilities.
• Lead design and stewardship of robust, reproducible analyses and workflows.
• Collaborate with AI/ML, data science, software and data engineering teams to ensure rigor.
• Translate complex scientific tradeoffs into actionable communication for leadership.
• Manage priorities and risks across multiple programs and resource tradeoffs.

Skills

Computational biology

Bioinformatics

Data science

AI/ML

Education

PhD in Computational Biology

Tools

Git

Workflow systems

Job description

The role emphasizes strong scientific judgment, data stewardship, and collaboration with biology, translational, pharmacology, and drug discovery teams to drive rigorous computational solutions.