Senior Scientist (In vivo Pharmacology & Translational Sciences)
Isomorphic LabsDrug Discovery company
CambridgeSenior
Thrive Capital
GV
Temasek
CapitalG
Alphabet
MGX
Data & AI
About the role
TL;DR
Senior Scientist to design and implement in vivo pharmacology and translational strategies for drug discovery.
- •Isomorphic Labs is seeking exceptional individuals to join a highly impactful Translational Biology sub-team, within our Translational Sciences team.
- •This role is ideal for an experienced translational biologist with a skill for designing fit-for-purpose screening cascades to provide robust experimental evidence that our ML-designed medicines will have the desired therapeutic product profiles (TPPs).
- •Key Responsibilities Oversee the comprehensive planning, methodology development, fiscal management, and implementation of target-specific in vivo pharmacology, PK/PD, and safety assessments.
- •Design robust translation strategies explicitly geared toward clinical translation, leveraging datasets and biomarkers to inform patient selection frameworks.
- •Provide scientific expertise to the ML and computational biology teams, to support the development of world-leading models of biological systems.
- •Analyze and interpret experimental data to deliver high-quality reports that drive go/no-go decisions and support IND regulatory filings.
- •Act as a vital bridge between computational prediction and experimental reality, collaborating closely with ML and Data Science Teams, Discovery Biology and Lead Optimization, DMPK and Toxicology, and Clinical Development and Program Management.
- •Requirements Ph.D. in Pharmacology, Immunology, Cancer Biology, Molecular Biology, or a related scientific discipline.
- •Deep understanding of target, mechanism, and disease interdependencies, preferably in oncology or immunology.
- •Expert knowledge of innovative translational models, particularly in oncology and/or immune disorders.
- •Extensive pharma/biotech experience developing Target Product Profiles (TPPs) and converting them into biological screening cascades.
- •Proven track record in constructing translational data packages and biomarker strategies to inform clinical trial design.
Required skills
PythonRSQLBashGitLinuxJiraConfluenceExcelPowerPoint
Nice-to-have skills
MLflowKubeflowSageMakerVertex AI
Domain expertise
biotechhealthcare
Tech stack
PythonRSQLBashGitLinuxJiraConfluenceExcelPowerPoint