Strategic Translational Biomarkers Scientist

Merck & Co.

Rahway (NJ)

Hybrid

USD 191,000 - 300,000

Full time

4 days ago
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Benefits offered by this job

Medical benefits
401(k) plan
Paid holidays
Vacation & sick days

Job summary

Merck & Co. in Rahway, NJ seeks an accomplished Principal Scientist to provide strategic biomarker leadership across CVM and ID/Vaccines portfolios, leading translational biomarker strategies through early to late clinical development.

The candidate will shape decision-centric biomarker plans integrating mechanism, disease biology, pharmacodynamics, and patient heterogeneity to inform program decisions and precision medicine opportunities.

Qualifications

  • Significant experience developing and executing translational or clinical biomarker strategies in drug or vaccine development.
  • Demonstrated ability to translate scientific hypotheses into biomarker strategies that inform clinical development decisions.
  • Strong understanding of the relationship between mechanism of action, disease biology, pharmacology, biomarkers, clinical endpoints, and development strategy.

Responsibilities

  • Develop and lead integrated biomarker strategies across CVM and ID/Vaccines programs, in partnership with cross-functional development teams.
  • Translate disease biology and therapeutic mechanism into clear translational hypotheses and fit-for-purpose biomarker approaches.
  • Define how biomarkers can inform key development questions including proof of biology, target engagement, dose and regimen selection, patient stratification, response assessment, and go/no-go decisions.
  • Ensure biomarker strategies are focused and scalable, with clear linkage between the development question, proposed measurement, expected result, and potential action.
  • Serve as the biomarker representative on cross-functional program teams and provide strategic biomarker input to program-level decision making.
  • Partner closely with Discovery, Clinical Development, Quantitative Sciences, Regulatory, Data Science, Clinical Operations, and other functions to develop integrated translational strategies.
  • Lead the interpretation of biomarker and clinical datasets and translate complex findings into clear, actionable recommendations.
  • Identify opportunities to understand disease heterogeneity, therapeutic response, resistance or non-response, and biological drivers of clinical outcomes.
  • For infectious diseases and vaccines, develop biomarker strategies addressing areas such as host and pathogen biology, immune response, correlates of protection, pharmacodynamic response, and patient or population stratification, as appropriate.
  • For cardiovascular and metabolic programs, develop biomarker strategies addressing areas such as target engagement, pathway modulation, disease biology, pharmacodynamic response, patient heterogeneity, and relationships between biological effects and clinical outcomes.
  • Evaluate emerging biomarker technologies and analytical approaches based on their ability to address meaningful development questions.
  • Communicate biomarker strategies, results, risks, and recommendations clearly to cross-functional teams and key stakeholders.
  • Provide scientific guidance and mentorship to biomarker scientists and contribute to a collaborative, strategically focused biomarker organization.
  • Support publications, scientific presentations, external collaborations, and interactions with key external experts as appropriate.

Skills

Biomarker strategy
Translational medicine
Clinical development
Cross-functional leadership
Biostatistics
Data interpretation
Pharmacodynamics
Scientific communication
Program management
Mentorship

Education

Ph.D., M.D., or equivalent advanced scientific degree

Job description

Merck & Co. in Rahway, NJ seeks an accomplished Principal Scientist to provide strategic biomarker leadership across CVM and ID/Vaccines portfolios, leading translational biomarker strategies through early to late clinical development.

The candidate will shape decision-centric biomarker plans integrating mechanism, disease biology, pharmacodynamics, and patient heterogeneity to inform program decisions and precision medicine opportunities.

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