Principal Scientist II/Senior Principal Scientist, Modeling & Simulation (Dual Level Posting)
Novartis
August 17, 2026
Remote friendly (Cambridge, MA)
United States
Clinical Research and Development
Key responsibilities:
- Act as the M&S representative on several programs; develop and execute modeling strategies and guide model-informed decisions from therapeutic design to first-in-human dose selection and beyond.
- Build and apply mechanistic models (PK/PD, QSP, and PBPK/PD) linking drug pharmacology, tissue biodistribution, mechanisms of action, and downstream effects.
- Integrate modeling into preclinical in vivo and in vitro study design and interpretation to support candidate selection, optimization, and advancement.
- Collaboratively develop platform disease (QSP) and PBPK/PD models across multiple projects and phases of discovery & development.
- Participate in M&S strategic initiatives (e.g., platform translational modeling strategies; modeling workflows such as agentic AI).
- Promote adoption of translational modeling internally and expand impact through external collaborations.
Essential requirements:
- Ph.D. in biology, bioengineering, pharmaceutical sciences, biophysics, or related field with 3+ years industry experience (or M.S. with 5+ years industry experience).
- Expert core modeling skills: MATLAB/R (or scripting), ODE model construction, parameter estimation, and data visualization.
- Proficiency in PK/PD, QSP, and/or mechanistic PBPK/PD; pharmacometrics concepts (Population PK, exposure-response modeling) preferred.
- Required: integration of computational modeling with biological concepts.
- Preferred: neuroscience and/or cardiovascular disease experience; experience with oligonucleotide therapeutics (siRNA, ASO, PMO) and/or antibody-drug conjugates (ADCs).
- Collaboration/communication: communicate results to multidisciplinary audiences; fluent English.
Hybrid role: in-person and virtual; ~12 days/month on site in Cambridge, MA.
- Act as the M&S representative on several programs; develop and execute modeling strategies and guide model-informed decisions from therapeutic design to first-in-human dose selection and beyond.
- Build and apply mechanistic models (PK/PD, QSP, and PBPK/PD) linking drug pharmacology, tissue biodistribution, mechanisms of action, and downstream effects.
- Integrate modeling into preclinical in vivo and in vitro study design and interpretation to support candidate selection, optimization, and advancement.
- Collaboratively develop platform disease (QSP) and PBPK/PD models across multiple projects and phases of discovery & development.
- Participate in M&S strategic initiatives (e.g., platform translational modeling strategies; modeling workflows such as agentic AI).
- Promote adoption of translational modeling internally and expand impact through external collaborations.
Essential requirements:
- Ph.D. in biology, bioengineering, pharmaceutical sciences, biophysics, or related field with 3+ years industry experience (or M.S. with 5+ years industry experience).
- Expert core modeling skills: MATLAB/R (or scripting), ODE model construction, parameter estimation, and data visualization.
- Proficiency in PK/PD, QSP, and/or mechanistic PBPK/PD; pharmacometrics concepts (Population PK, exposure-response modeling) preferred.
- Required: integration of computational modeling with biological concepts.
- Preferred: neuroscience and/or cardiovascular disease experience; experience with oligonucleotide therapeutics (siRNA, ASO, PMO) and/or antibody-drug conjugates (ADCs).
- Collaboration/communication: communicate results to multidisciplinary audiences; fluent English.
Hybrid role: in-person and virtual; ~12 days/month on site in Cambridge, MA.