Associate Director, Computational Oncology

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Job Description

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Associate Director Computational Oncology 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.

OBJECTIVES: 

Takeda is committed to outsmarting cancer so that more patients may have access to our transformational medicines – a robust precision and translational medicine approach thoughtfully and strategically applied in drug development is of critical importance to achieve this important objective of our Oncology Therapeutic Area Unit (OTAU). 

The Computational Oncology group within the Precision & Translational Medicine (PTM) function in the Oncology Therapeutic Area Unit (OTAU) at Takeda has the accountability for driving end-to-end computational innovation and excellence from discovery through development, launch, and beyond as needed to advance our pipeline to patients in need. It consists of talented computational biologists who derive actionable scientific insights from large, diverse, and complex biological datasets including clinical trials and external datasets. They partner closely with teams within PTM and across the enterprise, such as Oncology Discovery, the Data Sciences Institute (including Statistics, Global Evidence and Outcomes, Data Architecture), Clinical Pharmacology, Clinical Sciences, as well as with other computational functions at Takeda as needed. Their collaboration guides robust drug target identification and validation, proof-of-concept in the clinic, and the development of pharmacodynamic and predictive markers to inform data-driven decisions. They also propose actionable solutions to be tested in the laboratory and/or the clinic to identify and advance our innovative cancer therapies.

We are seeking an experienced and highly motivated Associate Director of Computational Biology to join our innovative team. The successful candidate will leverage deep learning, multi-omics, spatial biology, single-cell omics, cancer biology, and statistical expertise to drive our drug discovery and development programs. A strong background and understanding of cancer biology with a focus on oncology or immuno-oncology, along with demonstrated experience leveraging computational techniques in the pharmaceutical industry to inform drug discovery and development, will be preferred.

ACCOUNTABILITIES: 

• Develop and implement computational strategies to analyze and integrate multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics.
• Utilize deep learning and machine learning techniques to uncover novel biological insights, identify therapeutic targets and predict efficacy and safety using molecular data
• Drive the analysis and interpretation of spatial biology and single-cell omics data to understand cellular heterogeneity and tissue architecture in the context of disease and response to therapy
• Perform robust statistical analysis and data interpretation working closely with