Postdoctoral Research Fellow – Biostatistics and Data Science for Digital Clinical Measures Development- Hybrid

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 Parkinson’s 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 Parkinson’s 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. 

postdoctoralopportunities

Required Skills:

Collaborating, Interpersonal Communication, Python (Programming Language), Quantitative Analytics, R Programming

Preferred Skills:

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