Leverage advanced machine learning and data engineering techniques to drive impactful decisions.
Work closely with multidisciplinary teams including toxicologists and safety professionals.
Develop predictive models and deliver analytical solutions to promote improved safety evaluations.

Advanced degree (MS or PhD) in Data Science, Computational Biology, Toxicology, Pharmacology, Biomedical Engineering, Computer Science , or related field.
3+ years of experience applying machine learning and/or data engineering to scientific or biomedical datasets.
Proficiency with Python and/or R , SQL, and modern data engineering tooling (cloud computing, workflow orchestration, version control).
Experience with ML model development, evaluation, and deployment pipelines.
Experience working with biological, toxicology, PK/PD, or in vivo datasets.

Principal Data Scientist – R&D, Preclinical Sciences, Translational Safety

Key skills