Computational ADMET Scientist - Drug Metabolism / Metabolomics

We are seeking a Computational ADMET Scientist with deep expertise in drug metabolism to design and build predictive systems for Phase I and Phase II metabolic pathways.

Requirements

• PhD (0-2 years) or MS (2-5 years) of relevant experience in Cheminformatics, Bioinformatics, Systems Biology, Computational Chemistry, or related field.
• Strong coding skills in Python (additional languages a plus).
• Demonstrated ability to develop atom-level models.
• Clear track record in machine learning for molecular modeling, with at least one demonstrated experience in the prediction of physicochemical properties, reactivity, metabolism, or other relevant structure–activity relationships.
• Hands-on experience with cheminformatics and ML libraries such as RDKit, CDK, PyTorch, TensorFlow, ChemProp.
• Ability to critically analyze data and translate findings into actionable predictions and computational models.
• Collaborative mindset, comfortable working in both autonomous and team-based settings.
• Adaptability to thrive in a fast-paced, deadline-driven environment.
• Previous remote experience.

Benefits

• Competitive compensation aligned with market benchmarks.
• Equity participation reflecting long-term impact.
• Remote-friendly culture across Europe and the U.S.
• Flexible working structure with cross-time-zone collaboration.