Manager, Statistics

Takeda Pharmaceutical Company Limited American Depositary Shares (each representing 1/2 of a share of); Boston (MA); Hybrid; USD 116,000 - 182,000; Full time

Job summary

Takeda Development Center Americas, Inc. in Cambridge, MA, seeks a Manager, Statistics to lead data science on global project teams supporting preclinical and clinical programs.

You will develop and review study synopsis, protocol, and analysis plans, perform end-to-end analyses, and ensure reproducible, transparent results while advancing analytics capabilities across the organization.

Qualifications

• PhD in Statistics or related field required.
• Experience designing Bayesian models and simulations.
• Proven ability to publish and present statistical work.

Responsibilities

• Lead data science work on global teams for preclinical/clinical studies.
• Develop study protocols and analysis plans with statistical validity.
• Deliver reproducible analysis and documentation.

Skills

Bayesian methods

High dimensional data analysis

Team leadership

Data science collaboration

Education

Ph.D. in Statistics or related field

Tools

R

Python

SAS

UNIX (HPC)

Job description

Job Description

JOB LOCATION: Cambridge, MA

POSITION: Manager, Statistics

Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity:

POSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Manager, Statistics with the following duties: independently represent data science function on global project teams in support of pre-clinical and clinical studies and compound level programs; play a leadership role in the development and review of the study synopsis, protocol, statistical analysis plan, clinical study report, ensuring accurate and statistically valid deliverables; perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation; develop and support best data handling and data provenance practices utilizing reproducible, interpretable research approaches; strengthen Takeda’s advanced analytics toolkit by identifying and applying emerging techniques, as well as by advancing the state of the art and developing novel analysis tools as needed; collaborate effectively within a matrix environment, with scientists in various therapeutic areas to understand disease biology and to identify or develop appropriate goals for data science work (for example identifying sensitive and specific endpoints for segmenting patient population, tracking disease progression, quantifying quality of life, etc.) as well as with colleagues from pharmacology, chemistry, imaging, translational sciences, computational biology, experimental medicine; work closely with Takeda statisticians to ensure statistical issues in data analysis are ad-dressed as needed; anticipate and communicate internal and external resource and quality issues that may impact deliverables or timelines of the program; propose and implement solutions; elevate is-sues to management as appropriate in a timely manner; increase the internal impact of Takeda’s data science work by identifying opportunities across therapeutic areas; increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations. Up to 75% remote work allowed; 5 days onsite work required per month.

Estimated salary range reflects expected pay for this role. Actual base salary depends on the applicant’s qualifications, experience, skills, education, certifications, & work location, & will comply with all applicable minimum‑wage laws.

U.S. employees may be eligible for medical, dental, & vision insurance, 401(k), paid time off, sick leave, company holidays, incentive compensation programs, & other benefits offered under company policies.

REQUIREMENTS: Ph.D. in Statistics or related field. Prior experience must include: develop Bayesian hierarchical models incorporating stick-breaking processes and weights for prediction and inference; design and conduct simulations studies to evaluate statistical methods, including defining assumptions, generating data, and summarizing results; conduct independent statistical research projects, including literature review, mathematical derivations of statistical methodology, real-world data application, and preparing written reports or publications; implement reproducible statistical workflows for high dimensional data analysis and methodological evaluation using programming tools (R, Python, SAS) and UNIX operating systems (High-Performance Computing); apply statistical methods and deep learning approaches, including survival analysis, longitudinal data analysis, and deep neural network models, to evaluate hypotheses and interpret results in biomedical and clinical data to cross-functional research teams.

Full time. $116,000 to $182,270 per year.

Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.

Please reference job #R0193463.

EOE