US-MA, Digital & Image Analysis/Computational Pathology Senior Scientist R0012501-MZ
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
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
WHAT TAKEDA CAN OFFER YOU:
Please visit our website at takedajobs.com