Associate Director, Data Products & Reproducibility (Oncology)

Takeda

Boston (MA)

Hybrid

USD 154,000 - 243,000

Full time

14 days+

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Job summary

Takeda in the Boston/Cambridge area seeks an Associate Director, Data Products and Reproducibility to lead scientific standards and durable computational capabilities within the Oncology Computational Biology Delivery team.

The role blends deep computational biology with AI/ML collaboration, requiring a PhD and 7+ years of experience. It supports a hybrid work model in Boston with a competitive base salary and comprehensive benefits.

Qualifications

PhD in a relevant field with 7+ years post-degree experience.
Deep expertise in computational biology data workflows.
Ability to set quality standards and roadmaps.
Experience with reproducibility engineering practices.
Experience collaborating with AI/ML and data science teams.

Responsibilities

Establish and apply rigorous standards for analysis, validation, data quality, reproducibility, and provenance.
Lead the design and stewardship of robust, reproducible analyses, workflows, and shared capabilities.
Partner with computational biologists and oncology researchers to turn questions into validated resources.
Collaborate with AI/ML, data science, software and data engineering teams to ensure analytical prototypes are sound.
Set direction, roadmap, and success measures for oncology computational biology capabilities.
Develop and evaluate AI-enabled approaches for recurring research activities.