Associate Director, Data Products and Reproducibility

Takeda Pharmaceutical Co.; Boston (MA); On-site; USD 154,000 - 243,000; Full time

Job summary

Takeda Pharmaceutical Co. in Cambridge, MA and Boston area seeks an Associate Director, Data Products and Reproducibility to lead scientific and technical standards for oncology data and analytics.

You will define rigorous data quality, provenance, and reproducibility standards across complex research workflows. The role requires deep computational biology expertise, collaboration with AI/ML, data science, software engineering, and biology teams to build durable, well-validated resources that

Qualifications

• Advanced degree with extensive post-degree experience in computational biology and data analytics.
• Expertise in bioinformatics data, workflows, and reproducible computing standards.
• Ability to set quality standards and roadmaps for research capabilities and platforms.

Responsibilities

• Establish and apply rigorous standards for analysis, validation, data quality, reproducibility, and provenance.
• Lead design and stewardship of robust, reproducible analyses, workflows, and shared capabilities.
• Collaborate with computational biologists and oncology researchers to convert questions into validated resources.
• Partner with AI/ML, data science, software engineering, and data engineering teams to ensure scientific soundness of prototypes.
• Set scientific direction and roadmaps for oncology computational biology capabilities in alignment with portfolio priorities.
• Develop and critically evaluate AI-enabled approaches for recurring research activities.
• Ensure analyses and AI-driven outputs are interpretable, well-documented, and defensible.
• Manage priorities and resourcing risks across multiple programs and communicate rationale clearly.

Education

PhD in Computational Biology, Bioinformatics, Cancer Biology, Human Genetics, Genomics, Data Science, Computer Science, Engineering, or a related discipline

7+ years of relevant post-degree experience

demonstrated record of scientific impact (peer-reviewed publications, methods adopted)

Job description

Job Description

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as an Associate Director, Data Products and Reproducibility in our Cambridge office.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Here, you will be a vital contributor to our inspiring, bold mission.

Objective / Purpose

The Associate Director, Data Products and Reproducibility will be a scientific and technical leader within the Oncology Computational Biology Delivery team in the Computational Biology and Human Genetics organization. Reporting to the Director, Head of Oncology Computational Biology Delivery, this role will apply deep computational biology expertise and rigorous scientific judgment to ensure that oncology data and analyses are robust, reproducible, and trustworthy enough to support high-stakes research decisions across the Oncology Research pipeline.

The Associate Director will define and apply scientific standards for analysis, validation, data quality, reproducibility, and provenance, supported by sound engineering practices such as version control, testing, documentation, and monitoring. The successful candidate will combine deep scientific and computational biology expertise with fluency in modern data and AI practices, balancing responsive, program-specific scientific support with strategic investment in durable, well-validated resources that raise the rigor, consistency, and interpretability of oncology computational biology.

Accountabilities

• Establish and apply rigorous standards for analysis, validation, data quality, reproducibility, and provenance, ensuring that version sound practices exist in service of scientific rigor.
• Lead the design and stewardship of robust, reproducible analyses, workflows, and shared computational capabilities, applying sound scientific judgment to decide what merits durable investment versus one-off analytical support.
• Partner closely with other computational biologists and oncology research scientists to convert recurring scientific questions into well-validated resources and evidence-generation capabilities grounded in strong methodology.
• Collaborate with AI/ML, data science, software engineering, and data engineering teams to ensure analytical prototypes and AI concepts are scientifically sound before extension into reusable research capabilities.
• Set the scientific and technical direction, including roadmap, quality standards, and success measures, for oncology computational biology capabilities, in conjunction with the Director of Oncology Computational Biology Delivery and in alignment with Oncology Research and portfolio priorities.
• Develop and critically evaluate AI-enabled approaches for recurring research activities, and advance the team's scientific fluency in AI.
• Ensure analytical and AI-driven workflows and outputs are interpretable, well-documented, and scientifically defensible, so research teams understand not just what a result is, but why it can be trusted.
• Partner with biology, target validation, translational, pharmacology, and drug discovery teams to ensure analytical approaches are fit for purpose and defensible for program decisions.
• Manage priorities, risks, and resourcing tradeoffs across multiple programs; communicate scientific rationale, risks, and impact clearly to the Director and cross-functional leadership.
• Contribute to the broader oncology computational, data, and AI strategy, bringing scientific perspective to technology opportunities, standards, external collaborations, and investments.

Education & Competencies

• PhD in Computational Biology, Bioinformatics, Cancer Biology, Human Genetics, Genomics, Data Science, Computer Science, Engineering, or a related discipline, with 7 or more years of relevant post-degree experience and a demonstrated record of scientific impact (e.g., peer-reviewed publications, methods adopted by research teams, or field recognition).
• Deep expertise in computational biology data, bioinformatics workflows, multimodal biological data integration, and the scientific standards required for robust, reproducible computing.
• Demonstrated ability to apply sound scientific judgment when building computational, data, or AI capabilities — knowing what warrants durable investment versus lightweight support — and to set quality standards, roadmaps, and measurable outcomes accordingly.
• Strong grounding in the engineering practices that support scientific reproducibility (version control, testing, documentation, provenance, monitoring), applied with an understanding of why they matter, not just how to implement them.
• Experience designing or leading computational platforms or shared research capabilities that hold up to scientific scrutiny from the researchers who rely on them.
• Experience collaborating effectively with computational scientists, AI/ML scientists, data scientists, software engineers, and research-domain experts, with credibility among scientific stakeholders.
• Experience critically evaluating and applying AI-accelerated approaches to research workflows, with clear judgment on where AI adds rigor versus introduces risk.
• Ability to translate complex scientific and technical tradeoffs into clear, actionable communication for scientific and senior leadership audiences, and to manage priorities and resourcing risk in a complex, cross-functional research environment.

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law

This position is currently classified as “hybrid” in accordance with Takeda’s Hybrid and Remote Work policy.

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Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location: Boston, MA

U.S. Base Salary Range: $154,400.00 - $242,550.00

For information about our benefits, please click here.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.