Senior 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 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.
OBJECTIVE:

• 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.
• Providing statistical support in the design, analysis, and interpretation of preclinical and biomarker studies to enable quantitative decision making
• 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.
• 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

ACCOUNTABILITIES:

• 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, EXPERIENCE AND SKILLS:

• 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.

This position is currently classified as " hybrid" in accordance with Takeda's Hybrid and Remote Work policy.
Empowering Our People to Shine
Learn more at takedajobs.com.
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Takeda Compensation and Benefits Summary
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
USA - MA - Cambridge
U.S. Base Salary Range:
$137,000.00 - $215,270.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Locations
USA - MA - Cambridge
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Job Exempt
Yes
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.