Posted to MedZilla on 11/13/2019

Takeda Pharmaceuticals

US-MA, Digital & Image Analysis/Computational Pathology Senior Scientist R0012501-MZ


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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 Digital & Image Analysis/Computational Pathology Senior Scientist 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 Futureto people around the world.

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


Lead the development of image acquisition and digital analysis capabilities that complement high-content cell phenotyping technologies being developed in our rapidly expanding translational laboratory.

Embed within project teams to provide digital imaging, image analysis, and statistical support that drives the development of key oncology drug assets throughout the life cycle of the project.

Serve as an image analysis expert for translational strategy planning that efficiently drives projects from preclinical assessment up to early clinical implementation.

We are a rapidly evolving translational research laboratory within the Immune Oncology Drug Discovery Unit of Takeda with the goal of implementing innovative cell phenotyping capabilities that drive development of the next generation of immune-modulatory drugs for the treatment of cancer. This position will provide an opportunity to lead the development and expansion of the digital analysis cornerstone that will serve as an essential component of an integrated effort between pathologists, translational researchers, and preclinical scientists. Insights gained from these informatics tools will be used to inform preclinical go-no go decision making, identify drug mechanisms of action, and identify predictive biomarkers that serve to rationally direct early clinical trial design.


Advancing Imaging Analysis Capabilities

  • Report to and work with the Translational Pathologist to align the development of image analysis tools with high-content cell phenotype testing being conducted in our Integrated Translational Technologies (ITT) Laboratory
  • Implement imaging analysis approaches and machine learning to improve tumor/stromal segmentation in FFPE tissue and deduce changes in immune context using immune marker co-localization with digital spatial analyses
  • Develop image co-registration capabilities that allow the merging of sequentially-stained tissue section images for analysis at both the tissue and cell-to-cell level
  • Develop/enhance imaging algorithms to quantify cell membrane and nuclear biomarkers
  • Provide target quantification using approaches such as percent positive and signal intensity scoring
  • Utilize statistical analyses tools to support conclusions drawn from image analysis
  • Develop best practices for image management as it relates to the storage of high-content images and the linking of associated metadata files

Cross-Program Support

  • Work directly with the ITT Laboratory scientists to deliver immunophenotyping analysis in support of translational research and biomarker identification across our preclinical oncology and immuno-oncology programs
  • Work with our unit s computational biology group to combine cross-platform omics data with spatial immune profiling in an effort to deliver a new level of translational profiling capabilities
  • Serve as an image analysis expert for translational strategy planning that efficiently drives preclinical assessment throughout the development cycle
  • Prepare and present findings from image analysis to the project teams


PhD in Computer Science, Biomedical Engineering, or related field with 5+ years experience contributing to or leading digital imaging and analysis-related projects,

or Master s in Computer Science, Biomedical Engineering, or related field with 10+ years experience contributing to or leading digital imaging and analysis-related projects,

or BS in Computer Science, Biomedical Engineering, or related field with 12+ years experience contributing to or leading digital imaging and analysis-related projects

  • Excellent oral and written communication skills
  • Ability to work within multi-disciplinary and matrixed teams
  • Good fit with Takeda core values and leadership principles
  • Right attitude (agile, curious, open-minded, can-do mindset)
  • Expertise in image acquisition and image analysis software tools as it relates to tissue classification, target quantification, and target colocalization, with emphasis on working knowledge of inForm and HALO software platforms
  • The ideal candidate will have basic knowledge of statistical analyses using data analysis packages such as R and/or MATLAB
  • Preference will be given to those candidates with experience in spatial profiling


  • 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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Full time

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