Associate Principal Scientist – Translational Biomarkers Lead
| Company | MSD |
|---|---|
| Location | Boston, MA, USA, San Francisco, CA, USA, Linden, NJ, USA |
| Salary | $126500 – $199100 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- BS, MS, or Ph.D. in a life sciences discipline (Biochemistry, Immunology, Molecular Pathology, Cell Biology, or related field)
- Ph.D. and 5 years OR MS and 8+ years OR BS and 12+ years of experience in the biotech or pharmaceutical industry, specifically in translational or biomarker sciences
- Excellent interpersonal, project leadership, verbal, and written communication skills
- Strong scientific rigor, analytical and problem-solving abilities, with attention to detail and the ability to interpret complex data.
Responsibilities
- Design and implement biomarker strategies for early and late-stage clinical programs.
- Lead clinical biomarker sub-teams as part of program development teams and represent the functional area during governance interactions.
- Liaise with subject matter experts to identify and effectively implement target engagement, pharmacodynamic, proof-of-mechanism, and precision medicine biomarkers for clinical phase programs.
- Facilitate the adoption of innovative technologies and methodologies for biomarker identification and analysis, grounded in disease pathophysiology and aligned with therapeutic mechanisms of action.
- Participate in the formulation of testable hypotheses for biomarker analyses and facilitate interpretation of results to ensure meaningful and accurate conclusions are drawn.
- Contribute to biomarker-related presentations, publications, and engagements, both internally and externally.
Preferred Qualifications
- Demonstrated experience supporting translational research in cardiometabolic disorders, including the development and integration of vascular, inflammatory, metabolic, and/or fibrosis biomarkers to inform patient stratification, pharmacodynamic assessment, or mechanistic understanding of disease biology.
- Contributions to the scientific community through publications, presentations, or scientific consortia.
- Proficiency in applying omics technologies and/or computational approaches (e.g., AI/ML, bioinformatics, digital pathology analytics) to extract, integrate, and interpret biomarker data is advantageous.