Senior Principal Statistician, Biometrics
Job in
Paterson, Passaic County, New Jersey, 07544, USA
Listed on 2026-07-24
Listing for:
Ferring Holding SA
Full Time
position Listed on 2026-07-24
Job specializations:
-
IT/Tech
Data Analyst, Information Security & Data Protection, Data Scientist, Data Warehousing
Job Description & How to Apply Below
Parsippany, New Jersey, United Statestime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 18, 2026 (27 days left to apply) job requisition :
R0037622##
*
* Job Description:
** As a privately-owned, biopharmaceutical company, Ferring pioneers and delivers life-changing therapies that help people build families and live better lives. Our independence helps us cultivate an entrepreneurial spirit and long-term perspective that enables us to achieve growth and scale, while remaining agile and true to our ‘people first’ philosophy. Built on a 70-year plus commitment to science and research, Ferring is relentless in its pursuit of science that drives powerful discoveries and therapies to help people build families, stay healthy, and stand up to the world’s oldest enemy: disease.
As a
** Senior Principal Statistician, Biometrics
** you will be part of clinical development teams, contributing to the design, execution, analysis, and reporting of development programs. You will support both traditional clinical trial activities and broader evidence generation efforts, integrating clinical and real-world data to inform development and regulatory decision-making.
With Ferring, you will be joining a recognized leader, identified as one of “The World’s Most Innovative Companies” by Fast Company, and honored by Fortune with inclusion on its “Change the World List,” for addressing society’s unmet needs. Ferring US is also Great Places to Work Certified, distinguishing it as one of the best companies to work for in the country.
** Responsibilities:
**** Evidence generation and real-world evidence (RWE)
*** Supporting the design, conduct, analysis and reporting of RWE studies
* Contribute to integrated evidence generation strategies combining clinical trial and real-world data
* Supporting use of RWE in regulatory submissions, health technology assessment (HTA), and lifecycle planning
** Clinical development and statistical contribution
*** Providing statistical input to clinical development plans and target product profiles
* Authoring statistical analysis plans and contributing to study design
* Supporting analysis and interpretation of clinical trial data
* Contributing to clinical study reports and regulatory submissions
** Assessment of business development opportunities
*** Critically review and evaluate clinical trial data to assess efficacy, safety, and asset value, including opportunities for life cycle management such as label expansion, new indications, and geographic growth.
* Conduct gap analyses to identify missing data or limitations that may affect regulatory approval or market success and support the design of additional studies or registries to address these needs.
* Provide statistical input and perform independent analyses of key endpoints, subgroups, and sensitivity results to validate asset potential and strengthen evidence generation strategies by integrating clinical trial and real-world data.
* Contribute to due diligence reports, advise on statistical rigor, and evaluate the asset's readiness for regulatory submission, including review of analysis plans and submission documentation to inform business and scientific decisions.
** Requirements:
*** Bachelor’s degree required, Master’s degree or PhD in Statistics, Biostatistics, or a related quantitative field preferred
* 5+ years of experience working in the pharmaceutical industry·
* Proficiency in statistical programming languages (e.g., R, SAS)·
* Experience working with registry/claims data, including assessing the suitability and quality of such data sources in accordance with FDA guidance, and applying methodologies for analyzing observational data, e.g. constructing synthetic/external control arms, implementing the target trial emulation framework, or applying causal inference methods.·
* Strong analytical thinking and ability to translate complex data into clear insights·
* Effective communication skills, collaborative mindset and the ability to work in a dynamic environment
** Ferring + you
** At Ferring, we offer competitive total compensation along with an exceptional…
Position Requirements
10+ Years
work experience
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