Manager, Statistics

Takeda; Boston (MA); Hybrid; USD 116,000 - 182,000; Full time

Job summary

Takeda Development Center Americas, Inc. is seeking a Manager, Statistics in Cambridge, MA to lead data science efforts on global projects supporting pre-clinical and clinical studies.

You will develop and review study protocols, analysis plans, and reports; perform end-to-end analyses; and advance reproducible data practices while collaborating across therapeutic areas and with statisticians to ensure quality and timely deliverables.

Qualifications

• Ph.D. in Statistics or related field.
• Experience with Bayesian hierarchical models and stick-breaking processes.
• Ability to design simulations to evaluate methods.
• Proficiency with reproducible workflows in R/Python/SAS on HPC systems.
• Experience applying statistical and deep learning methods to biomedical data.

Responsibilities

• Independently represent data science on global project teams.
• Lead development and review of study synopsis, protocol, and analysis plan.
• Perform end-to-end data analyses from design to reporting.
• Advance data handling and reproducible research practices.
• Collaborate with cross-functional teams across therapeutic areas.

Skills

Bayesian methods

Statistical modeling

Survival analysis

Longitudinal analysis

Deep learning

R/SAS/Python

Education

Ph.D. in Statistics or related field

Tools

R

Python

SAS

Unix

Job description

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:

JOB LOCATION: Cambridge, MA

POSITION : Manager, Statistics

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 issues 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.

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time