Job Description
Postdoctoral Research Fellow Biostatistics and Data Science for Digital Clinical Measures Development
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.
Position Summary:
We are seeking a highly motivated Postdoctoral Researcher with a strong background in biostatistics and data science to join a cross-functional team in advancing the development of digital clinical measures for Parkinsons disease leveraging sensor-based technologies/wearables. The research in this role (up to three years) will focus on developing fit-for-purpose digital clinical measures for drug development. This offers a unique opportunity to conduct innovative research at the intersection of quantitative science digital health and clinical development.
Key Responsibilities:
Develop and refine novel statistical and data science methodologies and algorithms to support digital clinical measure development.
Design and implement validation frameworks for digital endpoints derived from sensor wearable and mobile health data.
Analyze data from observational and interventional clinical studies utilizing sensor-based digital health technologies to identify and validate digital biomarkers relevant to Parkinsons disease.
Collaborate closely with cross-functional teams and external partners including clinical scientists biostatisticians technology specialists and data scientists to build digital measures that can be deployed in clinical trials to support drug development.
Drive innovation and shape best practices in digital clinical measure development and validation by leading and contributing to high-impact scientific publications and conference presentations.
Stay current with emerging trends in digital health biostatistics and regulatory guidance to effectively apply the latest standards for digital measures and endpoints.
Requirements
PhD in Statistics within 6 months of hire in Biostatistics Data Science Biomedical Engineering or related quantitative discipline.
Strong proficiency in statistical programming languages (e.g. R Python) and visualization techniques.
Preferred Qualifications:
Experience working with clinical trial or observational study data and/or real-world evidence studies.
Prior experience analyzing data from digital health and sensor-based technologies.
Prior experience in pharmaceutical or healthcare research settings.
Experience with longitudinal data analysis machine learning and advanced statistical modeling techniques.
Demonstrated ability to work independently and collaboratively within multidisciplinary teams.
Excellent communication scientific writing and presentation skills with a demonstrated record of scientific publications and presentations.
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Required Skills:
Collaborating Interpersonal Communication Python (Programming Language) Quantitative Analytics R ProgrammingPreferred Skills:
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Job Posting End Date:
11/24/2025*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Merck & Co., Inc., Kenilworth, New Jersey, USA is known as “Merck” in the United States, Canada & Puerto Rico. We are known as “MSD” in Europe, Middle East, Africa, Latin America & Asia Pacific. We are a global biopharmaceutical leader with a diverse portfolio of prescription medicine ... View more