Manager, Statistics

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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 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, 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. 

OBJECTIVE: 

The purpose of this position is to provide data science expertise by:

• Providing statistical support in the design, analysis, and interpretation of preclinical studies to enable quantitative decision making from target identification through lead optimization
• Contributing statistical modeling expertise to cross-functional project teams, working closely with colleagues from Discovery biology, translational research, and partner lines
• Effectively working with and gleaning insights from a wide variety of data sources, from standard in-vitro & in-vivo assays to complex imaging data or sensor data
• Applying state-of-the-art data science methodologies (taken from statistics, machine learning, and AI) and fit-for-purpose statistical analysis in support of Discovery efforts from projects start through all stages towards IND.

ACCOUNTABILITIES: 

• Contribute to representing data science function on project teams in support of preclinical studies throughout the drug discovery units and supporting functions.

• 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. 

• Collaborate effectively within a matrix environment, working with scientists across various areas to understand the problems in terms of its chemistry, biology, and/or physical natures and to tailor data analyses 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.

• Respond to regulatory questions that are statistical in nature.

• Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.

EDUCATION, EXPERIENCE AND SKILLS:

• Education in a relevant field, for example a) PhD in a field such as Statistics, Applied Mathematics, Physics, Electrical Engineering, Biomedical Engineering, or Computer Science, with some relevant experience (including internships and research assistanceships), or b) Master’s degree with a minimum of 3 years of relevant experience

• 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 n