Principal Scientist II, Translational Biomarker Strategy Lead

About the role

Novartis Biomedical Research is looking for a Translational Biomarker Strategy Lead to act as the biomarker representative and strategic advisor on DAx project teams. The role leads preclinical and translational biomarker strategies from target validation through development candidate nomination and early clinical planning, partnering with Biology, In Vitro, In Vivo, Data Science and Biomarker Development. The successful candidate is the single point of contact for biomarker strategy within assigned DAx programs.

Key responsibilities

• 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.
• Define biomarker hypotheses, context of use, evidence requirements and decision criteria aligned with program milestones.
• Develop integrated biomarker plans covering assays, models, samples, analyses, timelines and external partnerships.
• Partner across Biology, In Vitro, In Vivo, Data Science, Preclinical Safety, Quantitative Sciences, Translational Medicine and Biomarker Development.
• Generate translational evidence linking target biology, pharmacology and biomarkers to support portfolio decisions.
• Drive external collaborations and leverage technologies, datasets and human sample resources to strengthen biomarker strategies.

Required profile

• PhD, MD, PharmD or equivalent in biology, pharmacology, immunology, translational medicine, molecular biology or a related discipline.
• 7+ years of experience in translational research, biomarker strategy, biomarker discovery or drug development in pharma or biotech.
• Demonstrated experience developing biomarker strategies for drug discovery and development programs.
• Experience leading cross-functional matrix teams and influencing scientific strategy without direct authority.

Required skills

• Strong understanding of biomarker applications: target engagement, pharmacodynamics, patient stratification, disease activity and mechanism-based biomarkers.
• Excellent communication, presentation and stakeholder management skills.
• Desired: analytical thinking, data analysis, machine learning, Python programming, gene therapy and drug development.

What we offer

• Expected annual base salary of 114,100 to 211,900 USD, with a possible performance-based bonus.
• Insurance plans, retirement plans, wellbeing resources and global recognition programs.
• Flexible and hybrid working options where possible, and a minimum of 14 weeks paid parental leave.