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Merck · 1 month ago

Associate Scientist, Postdoctoral Fellow - Epidemiology Biomarker Research

USA - Pennsylvania - North Wales (Upper Gwynedd)

Full-time

Hybrid

New Grad, Entry Level

Merck is a leading pharmaceutical company seeking a passionate Postdoctoral Fellow for their Epidemiology-Oncology team. The role focuses on developing standardized analytic approaches to generate robust real-world evidence in cancer epidemiology, conducting literature reviews, and leading training sessions within the department.

BiotechnologyHealth CareMedicalPharmaceutical

Comp. & Benefits

H1B Sponsored

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

Qualification

EpidemiologyStatistical programmingQuantitative skillsBioinformaticsClinical researchData analysisCancer epidemiologyProblem solvingCommunication skillsMultidisciplinary collaborationOrganizational skillsAdaptability

Required

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

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