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Scientist/Sr. Scientist – Quantitative Mechanistic Biology/Pharmacology

Third Rock Ventures
Cambridge, MA Full Time
POSTED ON 2/6/2025
AVAILABLE BEFORE 5/2/2025

Scientist / Sr. Scientist – Quantitative Mechanistic Biology / Pharmacology

A well-funded and highly innovative start up from Third Rock Ventures is emerging out of stealth with a syndicate of marquee investors and is seeking a quantitative biologist / pharmacologist to become an integral part of the Quantitative Sciences group. The successful candidate will report to the VP of Quantitative Sciences and will work closely with the Preclinical Biology and Clinical teams to apply mechanistic modeling, simulation, and other quantitative analysis tools to drive drug discovery and development decisions. The ideal candidate will have a strong theoretical quantitative background, excellent practical coding skills, and experience and broad interest in a relevant biological or biomedical field.

Key Responsibilities :

  • Build, develop, and / or use mechanistic models of drug pharmacokinetics and pharmacodynamics, disease processes, and clinical trial simulations. These models will be applied at various stages of drug development from early feasibility through lead selection and clinical trial design.
  • Oversee the work of external partners in developing, evaluating, and optimizing some of these models.
  • Perform secondary analyses of model outputs, create insightful visualizations and summaries, and communicate results to the broader organization.
  • Work closely with in vivo pharmacology team to support quantitative study design and analysis aimed at various biological and pharmacological questions.Together with clinical pharmacology team, analyze data in a quantitative systems pharmacology modeling framework to infer key parameters and inform clinical decision-making.

Candidate Requirements :

  • Ph.D. in Systems Biology, Bioengineering, Pharmacology, or a related field, or B.Sc. / M.Sc. with 4 years of relevant experience in the biopharma industry.
  • Experience in using mechanistic mathematical modeling and simulation (QSP, PK / PD, other ODE simulations, etc.) to answer practical biological and pharmacological problems. Experience in non-compartmental analysis is a plus.
  • A desire and ability to quickly learn about biological mechanisms in immunology and autoimmune diseases. Experience in working with antibodies or antibody-like biologics is strongly preferred.
  • Embraces new challenges and thrives in a dynamic start-up environment.
  • Demonstrates a strong work ethic and high motivation.
  • Capable of working both independently and collaboratively within a team to meet deadlines and contribute to strategic company objectives.
  • Excellent written and verbal communication skills.
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