Associate Director, Tumor Genomics and Target Credentialing

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, Tumor Genomics and Targeted Credentialing 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.

The Associate Director, Tumor Genomics and Target Credentialing will be a key scientific and delivery 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 lead the development and application of tumor-genomics capabilities, analyses, evidence packages, and reusable computational products that advance Oncology Research pipeline decisions.

The Associate Director will provide scientific leadership in cancer genetics, tumor genomics, statistical genomics, and multimodal data integration to support target identification and validation, biomarker identification, patient stratification, and therapeutic development. The role will partner closely with oncology research scientists, target validation teams, translational scientists, AI/ML scientists, data scientists, and data engineers to define high-value scientific questions and deliver interpretable, actionable evidence.

The successful candidate will combine deep expertise in cancer genomics with strong scientific judgment and delivery leadership. This individual will contribute to AI-enabled ways of working by developing, evaluating, and adopting reusable approaches for data discovery, evidence synthesis, target assessment, analysis planning, quality control, result interpretation, and generation of scientific deliverables.

• Lead the delivery of tumor-genomics analyses, data resources, target-credentialing evidence packages, and reusable computational capabilities that support Oncology Research and portfolio decisions.
• Provide scientific leadership in cancer genetics, tumor genomics, statistical genomics, bioinformatics, and quantitative analysis of complex biological datasets.
• Integrate complex oncology data types—including tumor-omics, human genetics, clinical, translational, and functional evidence to generate insights supporting target identification and validation, biomarker identification, patient stratification, and therapeutic development.
• Establish and apply rigorous scientific standards for target credentialing, including evidence evaluation, analytical validation, data quality, reproducibility, provenance, documentation, and transparent interpretation of findings.
• Partner with biology, target validation, translational, pharmacology, and drug discovery teams to define scientific questions, prioritize analyses, and ensure that deliverables are actionable and aligned with program needs.
• Develop reusable, scalable approaches for target assessment and evidence synthesis that improve the speed, consistency, accessibility, and scientific quality of computational biology support across the Oncology portfolio.
• Define and execute AI-enabled approaches within the tumor genomics and target credentialing domain, prioritizing…