Senior Manager, Statistics

Takeda Pharmaceutical Company • Cambridge, MA

197d • $137,000 - $215,270 • Remote

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree