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Manager, Statistics

応募後で応募 求人ID R0063364 掲載日 04/04/2022 Location:Boston, Massachusetts

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Job Description

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Manager, Statistics in our Cambridge, MA office.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Here, you will be a vital contributor to our inspiring, bold mission.


  • Providing statistical support in the design, analysis, and interpretation of non-clinical and biomakrer studies to enable quantitative decision making
  • Contributing statistical modeling expertise to cross-functional project teams, working closely with colleagues from Discovery biology, translational and clinical 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 methodogies (taken from statistics, machine learning, and AI) and fit-for-purpose statistical analysis for various projects and data types.
  • Participates in functional and cross functional initiatives including process and quality improvements.


  • Contribute to representing data science function on project teams in support of pre-clincial and clinical studies and compound level programs.
  • 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 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 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 (Python and R, or similar) and experience with recommended practices for software development.
  • Signficant depth of expertise in at least one field relevant to the job (for example, machine learning, signal processing, etc.) and 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.

Absent an approved religious or medical reason, all US office-based and lab-based Takeda employees who work fully on-site or in a hybrid model (as determined by Takeda) must be fully vaccinated to work at a Takeda site or to engage with Takeda colleagues or anyone else on behalf of Takeda. US field-based employees must be fully vaccinated as a condition of employment, absent an approved religious or medical reason. US employees who work at a Takeda manufacturing facility, and those who work at a BioLife center or BioLife lab, may be subject to different guidelines. If you are contacted by a Takeda recruiter about your job application, we encourage you to seek more information on the applicable guidelines for the Business Unit/Function to which you have applied.


  • 401(k) with company match and Annual Retirement Contribution Plan
  • Tuition reimbursement Company match of charitable contributions
  • Health & Wellness programs including onsite flu shots and health screenings
  • Generous time off for vacation and the option to purchase additional vacation days
  • Community Outreach Programs

Empowering Our People to Shine

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No Phone Calls or Recruiters Please.

In accordance with the CO Equal Pay Act, Colorado Applicants Are Not Permitted to Apply.

Base Salary Range: $101,500 to $145,000, based on candidate professional experience level.  Employees may also be eligible for Short Term and Long-Term Incentive benefits as well. Employees are eligible to participate in Medical, Dental, Vision, Life Insurance, 401(k), Charitable Contribution Match, Holidays, Personal Days & Vacation, Tuition Reimbursement Program and Paid Volunteer Time Off.   

This posting is made in compliance with Colorado’s Equal Pay for Equal Work Act, C.R.S. § 8-5-101 et seq.


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.


Boston, MA

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Full time