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NovartisPosted 3 weeks ago

Principal Scientist II, Translational Biomarker Strategy Lead

$114,100–$211,900 year

HybridCambridge, Massachusetts, United States

Full TimeSenior LevelDoctorate Or Professional DegreeEnterprise

Job Summary

Lead development of stage-appropriate preclinical and translational biomarker strategies for DAx programs from target validation through early clinical development readiness. Serve as the biomarker representative and single point of contact on assigned DAx project teams, defining hypotheses, context of use, evidence requirements, and decision criteria aligned with program milestones. Develop integrated biomarker plans encompassing assays, models, samples, analyses, timelines, and external partnerships while partnering across Biology, In Vitro, In Vivo, Data Science, and Preclinical Safety to align activities. Generate translational evidence linking target biology, pharmacology, and biomarkers to support key portfolio decisions and drive external collaborations leveraging innovative technologies and human sample resources.

Required Qualifications

  • PhD, MD, PharmD, or equivalent in biology, pharmacology, immunology, translational medicine, molecular biology, or related discipline
  • 7+ years of experience in translational research, biomarker strategy, biomarker discovery, or drug development within the pharmaceutical or biotechnology industry
  • Demonstrated experience developing biomarker strategies supporting drug discovery and development programs
  • Strong understanding of biomarker applications including target engagement, pharmacodynamics, patient stratification, disease activity, and mechanism-based biomarkers
  • Experience leading cross-functional matrix teams and influencing scientific strategy without direct authority
  • Excellent communication, presentation, and stakeholder management skills

Desired Qualifications

  • Analytical Thinking
  • Chemical Biology
  • Chemistry
  • Clinical Trials
  • Collaboration
  • Curious Mindset
  • Data Analysis
  • Detail-Oriented
  • Drug Development
  • Ethics
  • Gene Therapy
  • Immunology
  • Inventory Management
  • Machine Learning (ML)
  • Medical Research
  • Molecular Biology
  • Python (Programming Language)
  • Science

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