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Senior Manager of Statistics- CMC

Takeda
Full-time
Remote friendly (Cambridge, MA)
United States
$137,000 - $215,270 USD yearly
Clinical Research and Development

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Role Summary

Senior Manager of Statistics- CMC in Cambridge, MA. Provide statistical leadership in design, analysis, and interpretation of CMC study data; support clinical/biomarker assay development and validation.

Responsibilities

  • Provide statistical support and leadership for Takeda CMC campaigns for design and analysis in analytical development and formulation development for synthetic molecules, biologics, cell therapies, and other drug modalities.
  • Provide statistical support and leadership for Takeda clinical and biomarker assay development and validation.
  • Collaborate with Global Manufacturing, Regulatory Affairs, and Global Quality to explore methods and implement CMC strategies to enable data driven decision making.
  • Apply frequentist, Bayesian, ML/AI fit-for-purpose statistical analyses across various projects and data types.

Qualifications

  • Education in a relevant field, for example a) PhD in (Bio)statistics, Physics, Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics with at least an additional 3 years of experience in a statistical or quantitative field, or b) Master’s degree with a minimum of 6 years of relevant experience
  • Hands on experience with and strong interest in CMC and/or assay development and validation.
  • Expert-level knowledge of data science programming languages (R, Python, or similar) and experience with recommended practices for software development.
  • Ability to work independently on complicated datasets, including all aspects of data analysis (data cleaning, algorithm development, statistical analysis, and documentation).
  • Excellent oral and written communications skills.
  • Willingness and ability to self-educate in new areas.
  • Knowledge of FDA, EMA, and ICH regulations and industry standards applicable to the CMC is a plus.

Skills

  • Data science programming (R, Python, or similar)
  • Statistical analysis design and execution
  • Scientific communication and documentation
  • Regulatory knowledge related to CMC (FDA/EMA/ICH) a plus

Education

  • PhD in a relevant field or Master’s degree with substantial relevant experience as described above

Additional Requirements

  • Hybrid work arrangement as per policy
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