Associate Scientist, Postdoctoral Fellow - Epidemiology Biomarker Research

Job Description

Be a part of the legacy: Postdoctoral Research Fellow Program

Our Research Laboratories' Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery.

The Epidemiology Department is seeking a passionate and motivated Postdoctoral Fellow to join the Epidemiology-Oncology team. The fellow will work with a highly collaborative and multidisciplinary team of experts in epidemiology, biostatistics, and bioinformatics to develop a framework comprised of standardized analytic approaches to efficiently generate robust and reproducible real-world evidence across different tumor types, patient populations, and molecular biomarkers. The fellow will conduct literature reviews, develop standardized analysis plans with input from key stakeholders, build and implement reproducible workflows, conduct analyses of different clinico-genomics databases, and lead training sessions to enable adoption of the framework across the department.

Education Minimum Requirement:

• Candidate must hold a PhD, obtained within the last three years, or Ph.D. completed within 6 months of hire (e.g., PhD, DrPH, PharmD/MPH, MD/MPH, etc.) in epidemiology or public health, with a focus on cancer epidemiology and modeling.

Required Experience and Skills:

• Broad knowledge and experience in epidemiologic research and observational study design
• Hands-on research experience using real-world data or other large-scale datasets (e.g., clinico-genomic databases, EHR, claims, registries)
• Strong quantitative skills with experience conducting statistical analyses in a clinical research setting
• Proficiency in statistical programming (SAS and/or R)
• Proven ability to complete research projects resulting in peer-reviewed scientific publications and conference presentations
• Strong organizational, problem solving, and troubleshooting skills
• Excellent written and verbal communication skills
• Ability to plan and execute independent research, manage multiple projects, and collaborate effectively across multidisciplinary teams

Preferred Experience and Skills:

• Background in cancer epidemiology, molecular epidemiology, or genetic epidemiology
• Proficiency in other programming languages (e.g., Python)
• Understanding of oncology molecular biomarkers, including genomic analyses
• Experience with data standardization frameworks and common data models (e.g., OMOP)

Responsibilities:

• Lead the design, testing, and implementation of a comprehensive data analytics framework to guide the process of managing, analyzing, reporting, and interpreting real-world biomarker data
• Take part in epidemiologic research projects using real-world clinico-genomics data
• Solicit input from key internal stakeholders through written and oral communication
• Communicate research findings to cross-functional teams and internal stakeholders through written reports and oral presentations
• Disseminate research findings externally via scientific conference presentations and publications in peer-reviewed scientific journals
• Demonstrate leadership through process ownership and the training of colleagues to implement the developed framework
• Maintain and enhance professional knowledge and skills working in an industry setting

postdoctoralopportunities

Required Skills:
Accountability, Accountability, Adaptability, Analytical Chemistry, Bioinformatics, Biostatistics, Cell Culture Techniques, Clinical Research, Computational Biology, Data Analysis, Epidemiology, Immunoassays, In Vivo Mouse Models, Management Process, Mathematical Biology, Molecular Biology, Multidisciplinary Collaboration, Multi-Management, Observational Studies, Oncology, Parasitology, Programming Languages, Project Reviews, Public Health, Scientific Research {+ 4 more}

Preferred Skills:

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U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote".

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Employee Status:
Regular

Relocation:
Domestic

VISA Sponsorship:
Yes

Travel Requirements:
10%

Flexible Work Arrangements:
Hybrid

Shift:
Not Indicated

Valid Driving License:
No

Hazardous Material(s):
n/a

Job Posting End Date:
01/17/2026
*A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID: R374275