Senior Scientist (In vivo Pharmacology & Translational Sciences), Cambridge, MA
Core
Designing fit-for-purpose screening cascades and translational strategies to provide robust experimental evidence that ML-designed medicines will have desired therapeutic product profiles.
Role type
Senior Scientist (In vivo Pharmacology & Translational Sciences)
Builds
Translational data packages, biomarker strategies, and preclinical efficacy data to inform clinical trial design and IND filings.
Domain
Biotechnology / Oncology / Immunology / AI-driven Drug Discovery
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
In vivo pharmacology, PK/PD modeling, biomarker strategy design, CRO network management, TPP development, project management, cross-functional collaboration
Preferred skills
Oncology/immunology disease interdependencies, medicinal chemistry concepts, machine learning modeling in biological systems
Technologies
None explicitly listed
Responsibilities
Oversee planning and implementation of target-specific in vivo pharmacology, PK/PD, and safety assessments; Design robust translation strategies leveraging datasets and biomarkers; Define appropriate model paradigms (in vivo, ex vivo) and develop biomarker strategies for clinical proof of concept; Work with CROs to design decision-making experiments; Provide scientific expertise to ML and computational biology teams; Analyze experimental data to drive go/no-go decisions and support regulatory filings
Seniority
Senior, hands-on IC with strategic input
