Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discover[...]

Owen Thomas | Pending B Corp™; United Kingdom; Remote; GBP 125,000 - 150,000; Full time

Job summary

A mission-driven technology company in the life sciences sector is seeking a Principal ADMET Scientist to lead modelling efforts within their drug discovery platform. This fully remote role involves advanced machine learning and computational chemistry, influencing technical direction and mentoring junior team members.

Qualifications

• 5+ years of drug discovery experience.
• Hands-on experience with ADMET modelling.
• Proven experience building ML-based models.

Responsibilities

• Lead ADMET modelling efforts with a hands-on approach.
• Develop and implement machine learning models.
• Collaborate with cross-functional teams.

Skills

Machine Learning

Computational Chemistry

ADMET Modelling

Stakeholder Engagement

Communication Skills

Education

PhD in Computational Chemistry

Job description

Principal ADMET Scientist - Modelling, ML Engineer | Cheminformatics | Series A - Drug Discovery B2B Platform | Fully Remote, EU | £700-1,200 per day, Outside IR35 | 6-12 months Contract

This role is with a mission-driven technology company in the life sciences domain, seeking a hands-on Principal Scientist to lead ADMET modelling efforts within its drug discovery platform. The company enables collaborative model development across partners while maintaining strict data privacy using federated data infrastructure.

The position involves working at the intersection of machine learning, computational chemistry, and applied research to advance drug discovery models. The Principal Scientist will be the technical authority on ML architecture, experimentation, and strategy, collaborating with leadership and mentoring other engineers and researchers. This role influences technical direction without people management responsibilities.

Responsibilities:

• Lead ADMET modelling efforts with a hands-on approach.
• Develop and implement machine learning models using public and internal pharma datasets.
• Collaborate with cross-functional teams to integrate models into the drug discovery platform.
• Mentor and guide junior team members on technical matters.

Minimum Requirements:

• PhD in computational chemistry or equivalent.
• 5+ years of drug discovery experience.
• Hands-on experience with ADMET modelling across a broad scope.
• Proven experience building ML-based models in computational chemistry.
• Confidence in developing in silico models.
• Excellent communication skills and stakeholder engagement.
• Experience working in consortiums is a plus.