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Sr. Non-Clinical Biostatistician

Job in Swiftwater, Monroe County, Pennsylvania, 18370, USA
Listing for: Sanofi
Full Time position
Listed on 2026-02-01
Job specializations:
  • Healthcare
    Data Scientist, Clinical Research
  • Research/Development
    Data Scientist, Research Scientist, Clinical Research
Job Description & How to Apply Below

Job Title

Sr. Non-Clinical Biostatistician

Location

Swiftwater, PA

Overview

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

Team and Role

The Biostatistics Manager of the TED (Translational and Early Development) team supports Vaccine R&D under the supervision of the head of the Preclinical or Non-Clinical Team and/or the TED Global head, who are part of the Global Biostatistical Sciences (GBS) team. The role provides statistical support in R&D for pre-clinical work, bioassay and biomarker research, CMC, biological assay, and biomarker research.

The incumbent will collaborate with scientists and project managers and report to senior TED team managers. The role oversees methodological and statistical aspects of pre-clinical and/or non-clinical studies, with general direction from the Research Project Leader or technicians. The candidate will contribute to design and analysis to support decision-making while ensuring regulatory compliance.

Responsibilities
  • Lead statistician for the Preclinical/Non-clinical teams on statistical requests and related matters, with supervision from the Manager or TED Global Head.
  • Develop the digital mindset and data science capabilities of clients (communications, training, etc.).
  • Support the digital evolution of the site within its scope of activity.
  • Perform technology watch on data science topics and act as the referent for the platform.
  • Provide statistical input in experimental design for in vivo/in vitro preclinical studies, and/or clinical and analytical (CMC) bioassay development.
  • Contribute to study setup to ensure data capture meets study objectives.
  • Provide statistical support for experimental design, methodology, programming, and data analyses.
  • Produce statistical analyses (planning, prioritization, forms, reports), write memos/reports, and explain statistical conclusions to scientists.
  • Ensure accountability for statistical operations: sample size calculation, design of experiments, randomization (if applicable), and quality/compliance of statistical methodology and reports.
  • Oversee statistical content: select methodologies, drive risk assessment, interpret results to support study conclusions, and perform exploratory/ad-hoc analyses as needed.
  • Interact with internal and external stakeholders (R&D compliance, Functional Planner, Project Manager, CROs, etc.).
  • Under supervision of the senior TED manager or Research lead, participate in preclinical development plans, decision meetings, integrated analyses, dossier preparation, submission (IND/CTD) and follow-up (publication).
  • Represent TED and GBS in internal initiatives and present topics related to statistical activity.
Management and Collaboration

Cross-functional management: collaborate with junior statisticians or contingent workers for statistical report preparation and analyses/programming. Manage outsourced activities with external partners (CROs).

Education and Experience
  • Master’s degree in Statistics with 4 years of industry experience OR
  • PhD in Statistics/Biostatistics with internship in life sciences.
Experience
  • Experience in Life Sciences industries is required.
  • Technical expertise in statistics, data science, statistical modelling, etc.
Soft Skills
  • Good communication skills.
  • Ability to work in a multi-cultural environment and as part of a team.
  • Eager to learn and open-minded.
  • Good time management and autonomy.
Statistical Tools
  • R, JMP, and other software (e.g., SAS or Python) are a plus.
Language
  • Effective English in verbal and written communication.
Why choose us?
  • Bring the miracles of science to life alongside a supportive, future-focused team.
  • Grow your talent and career through promotions or lateral moves, domestically or internationally.
  • Enjoy a thoughtful rewards package that recognizes your contribution.
  • Access health and wellbeing benefits, including high-quality healthcare, prevention and wellness programs, and at least 14 weeks of gender-neutral parental leave.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, age, ancestry, nationality, marital or domestic partner status, sex, gender, gender identity or expression, affectional or sexual orientation, disability, veteran or military status, or any other characteristic protected by law.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

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