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Senior Scientist, Computational Oncology

Boston, Massachusetts


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Senior Scientist, Computational Oncology

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Job ID R0031609 Date posted 04/13/2021 Location Boston, Massachusetts

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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 Senior Scientist, Oncology Translational Genomics 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.

We are looking for an experienced computational biologist to lead our efforts to integrate, analyze and interpret multi-modal data for development of cancer therapeutics.  The candidate will be expected to contribute to our mission to provide innovative cancer therapies to patients across our pipeline of novel immuno-oncology therapeutics.  The candidate will have a comprehension of biology (with a focus on immunology, oncology, or immuno-oncology) and the ability to apply modern computational biology approaches to provide scientific insights. The candidate will be influential across the entire drug discovery spectrum, contributing to projects moving from target identification and validation through early clinical proof of concept, providing translational hypotheses and predictive and pharmacodynamic biomarkers to inform early clinical development strategies.


  • Leads engagement of Translational Genomics  team with Cold to Hot (C2H)  pillar of immuno-oncology discovery and translation within the DDU; Works with functional and program leadership to develop and implement a computational biology roadmap and strategies.

  • Visualize and interpret data types including genomics, transcriptomics, single cell sequencing, proteomics, and other high-dimensional datasets.

  • Performs integrative analyses to deduce, summarize and communicate results contributing to the understanding of drug indication, mechanism of action, identification of response predictors and translational biomarkers.

  • Establishes a collaborative and influential role within biology-oriented project teams by working through the spectrum of experimental study design, assay selection, analysis, data integration and data interpretation.

  • Works collaboratively with data scientists and data engineering groups to enhance our computational infrastructure, user interface, data storage, query and visualization capabilities.

  • Prepares and presents comprehensive technical or project reports to a full range of internal and external audiences.

  • Conducts scientific presentations to internal audiences and to external partnerships as indicated by projects and working with program leadership.


  • Ph.D. in computational biology, bioinformatics, biostatistics, computer science, or similar discipline with 5+ years of relevant experience in immuno-oncology research and translation or M.S. with 8+ years of experience.   

  • Experience with supervising computational scientists as direct or indirect reports.

  • Excellent communication, presentation, and interpersonal skills.

  • Independent, self-starting and supportive of team-based research and able to work effectively in a matrix organization.

  • Have strong scientific understanding of molecular biology and genomics.  Prior experience with immuno-oncology, oncology or immunology is preferred but not required.

  • Be experienced with genome scale analysis including some of the following: RNA-SEQ, DNA-SEQ, miRNA, copy number, epigenetics, and single cell sequencing.

  • Theoretical knowledge of bioinformatics, computational biology. 

  • Keeps current with emerging trends in bioinformatics and computational biology.

  • Familiarity with popular public domain data sources and programmatic interfaces.

  • Have solid knowledge of Unix/Linux, command line interfaces, and fluency in some common scripting and/or programming language (e.g., R, Python, Perl, Java, C / C++).

  • Be familiar with parallel computing, relational databases (e.g., SQL) and cloud computing or distributed computing (i.e. AWS).


  • 401(k) with company match and Annual Retirement Contribution Plan

  • Tuition reimbursement Company match of charitable contributions

  • Health & Wellness programs including onsite flu shots and health screenings

  • Generous time off for vacation and the option to purchase additional vacation days

  • Community Outreach Programs

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Boston, MA

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Job ID R0031609
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