Posted to MedZilla on 10/23/2018

Takeda Pharmaceuticals

US-MA, Computational Biologist, Discovery Toxicology R0002262-MZ


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Job Description

Job Description

Are you looking for a patient-focused company that will inspire you and support your career? If so, be empowered to take charge of your future at Takeda. Join us as a Computational Biologist, Discovery Toxicology in our Cambridge office.

As a Computational Biologist working in Toxicology, you will be empowered to develop and apply bioinformatics tools to analyze complex toxicology datasets and work collaboratively on computational projects across multidisciplinary areas.


  • As part of the Global Discovery Toxicology Group, provide safety support to early discovery therapeutic projects by working in interdisciplinary teams within and across Global Safety and engaging in core activities within the Discovery Toxicology group
  • Work as part of a team of safety assessment scientists and more broadly DMPK, pathology, pharmacology, and medicinal chemistry experts to implement discovery toxicology strategy to enable the selection and progression of optimized drug candidates
  • Work with global toxicology experimental groups to identify and apply mechanism-based assays and integrated models to support early target safety and chemistry evaluation
  • As the Cambridge Toxicology Computational Biology expert, work with Global Toxicology Computational Biology group to drive the improvement of early risk assessment using in silico strategies


  • Serve as an early tox representative on program teams. Integrate into early discovery project teams, assist in the identification of on- and off-target pharmacology risks and develop and implement de-risking strategies
  • Develop and apply bioinformatic tools to assist in the curation, analysis and visualization of large-scale, complex toxicological datasets from multiple sources
  • Work collaboratively on computational projects across multiple disciplinary areas, including DMPK, medicinal chemistry, drug safety and pharmacology
  • Design new computational biology tools and applications that are relevant to the design of drugs with the safest pharmacological profile
  • Identify toxicological-relevant pathways that are applicable across all therapeutic areas
  • Work with global Computational Biology teams to develop and maintain global platforms that integrate internal and external bioinformatic tools and models


  • Minimum of MS with 8 years of pharmaceutical experience or PhD with 3 years postdoctoral experience and/or 5+ years of experience working at a pharmaceutical company in computational biology, genomics, or related field
  • Passion to decrease safety related attrition in drug discovery
  • Proven computational biology experience including in-depth biology, statistics, and computer science knowledge and skills
  • Proficiency in scientific programming languages and algorithms
  • Experience developing computational web-based tools and databases
  • Demonstrated experience and ability to work effectively in a matrix, global environment as part of a multidisciplinary team

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