Takeda Pharmaceutical Company-posted 5 months ago
$137,000 - $215,270/Yr
Full-time • Senior
Remote • Cambridge, MA
Chemical Manufacturing

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 Senior Manager, Statistics in our Cambridge, MA office. Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. As a Manager of Statistics, you will be empowered to provide statistical leadership in the design, analysis, and interpretation of preclinical drug discovery study data, promoting innovative design and analysis methodology.

  • Provide statistical support for Takeda preclinical campaigns for design and analysis in the discovery and development of targets and molecules for one or more disease areas.
  • Collaborate with cross-functional project teams, including Computational Biology, Pharmacokinetics, and Safety scientists to explore methods and implement discovery strategies to enable data-driven decision making.
  • Apply frequentist, Bayesian, ML/AI fit-for-purpose statistical analyses across various projects and data types.
  • Serve as project statistical lead for preclinical statistics across one or more therapeutic areas.
  • Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation.
  • Strengthen Takeda's advanced analytics toolkit by identifying and applying emerging techniques, as well as by developing novel analysis tools as needed.
  • Contribute to representing data science function on project teams in support of pre-clinical and clinical studies and compound level programs.
  • Collaborate effectively within a matrix environment, working with scientists in various therapeutic and computational areas to understand disease biology and to tailor data analysis to program-specific needs.
  • Work closely with Takeda statisticians to ensure statistical issues in data analysis are addressed.
  • Communicate internal and external resource and quality issues that may impact deliverables or timelines of the program.
  • Escalate issues to management as appropriate in a timely manner.
  • Increase the external recognition of Takeda's data science work by participating in conferences, publishing work and developing external collaborations.
  • Education in a relevant field, for example a) PhD in a field such as Biostatistics, Physics, Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics with at least additional 3 years experience in 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 some of the relevant fields of biology, and experience supporting programs in Neuroscience, GI2, Oncology.
  • Knowledge of pharmaceutical industry, including the overall drug development process and the cross-functional interfaces with the Statistics function.
  • Expert-level knowledge of data science programming languages (Python and R, or similar) and experience with recommended practices for software development.
  • Significant depth of expertise in at least one field relevant to the job (for example, machine learning, signal processing, quality-by-design, etc.).
  • Strong background in both supervised and unsupervised machine learning.
  • Ability to work independently on complicated datasets, including all aspects of data analysis (data cleaning, algorithm development, statistical analysis, and documentation).
  • A working knowledge of UNIX operating systems is preferred, ideally with experience in high-performance computing environments.
  • Excellent oral and written communications skills.
  • Willingness and ability to self-educate in new areas.
  • Strong collaborative skills and ability to work with a cross-functional team.
  • Medical, dental, vision insurance
  • 401(k) plan and company match
  • Short-term and long-term disability coverage
  • Basic life insurance
  • Tuition reimbursement program
  • Paid volunteer time off
  • Company holidays
  • Well-being benefits
  • Up to 80 hours of sick time per calendar year
  • Up to 120 hours of paid vacation for new hires
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