Sr. Scientist/Principal Scientist– Quantitative Biology/Pharmacology

Third Rock Ventures; Cambridge (MA); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative start-up is seeking a quantitative biologist/pharmacologist to join their dynamic team. This role involves applying advanced data science techniques and mechanistic modeling to drive drug discovery and development. You will collaborate closely with cross-functional teams, overseeing the development of models that inform key clinical decisions. The ideal candidate will possess a strong theoretical background, practical coding skills, and a keen interest in biological mechanisms, particularly in immunology. This position offers the chance to make a significant impact in a fast-paced environment, perfect for those who thrive on challenges and innovation.

Qualifications

• Strong theoretical background in quantitative biology or pharmacology.
• Experience in mathematical modeling and simulation in biopharma.

Responsibilities

• Support quantitative study design and analysis for biological questions.
• Develop mechanistic models for drug pharmacokinetics and dynamics.

Skills

Quantitative Analysis

Mathematical Modeling

Pharmacokinetics (PK)

Pharmacodynamics (PD)

Data Science

Biological Mechanisms

Communication Skills

Education

Ph.D. in Systems Biology

M.Sc. in a related field with 6+ years of experience

Tools

Mechanistic Modeling Software

Statistical Analysis Tools

Job description

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 tools from data science, mechanistic modeling and simulation, and noncompartmental and other PK/PD analyses 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:

• Work closely with the in vivo and intro pharmacology teams to support quantitative study design and analysis aimed at various biological and pharmacological questions.
• Build, develop, or oversee development of 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 these models where applicable.
• Perform secondary analyses of model outputs, create insightful visualizations and summaries, and communicate results to the broader organization.
• Together with the clinical pharmacology team, help to analyze data to infer key parameters and inform clinical decision-making.

Requirements:

• Ph.D. in Systems Biology, Bioengineering, Pharmacology, or a related field, or M.Sc. with 6+ years of relevant experience in the biopharma industry.
• Experience in using mechanistic or semi-mechanistic mathematical modeling and simulation (QSP, PK/PD,) 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.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Research

Industries

• Biotechnology Research and Pharmaceutical Manufacturing