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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

4 days ago
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Job summary

A mission-driven technology company in the life sciences sector is looking for a Principal ADMET Scientist to lead ADMET modeling efforts within their drug discovery platform. This fully remote role offers a competitive daily rate and requires a PhD in Computational Chemistry along with significant experience in drug discovery and machine learning.

Qualifications

  • 5+ years of drug discovery experience.
  • Hands-on ADMET modelling experience.
  • Experience building ML models on pharma datasets.

Responsibilities

  • Lead technical direction for ADMET modeling efforts.
  • Collaborate closely with leadership and mentor engineers.
  • Work at the intersection of ML and computational chemistry.

Skills

ADMET modelling
Machine Learning
Computational Chemistry
Data Privacy
Stakeholder Communication

Education

PhD in Computational Chemistry or equivalent

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 Length
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 Length

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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 Length

The Client:

A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on ADMET modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure.

In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, collaborating closely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction.

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 Length

  • PhD computational chemistry or equivalent
  • Drug discovery experience (5y+)
  • Hands on ADMET modelling experience (broad scope)
  • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space.
  • Confidence in building silico models
  • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution
  • Experience in working in consortium is a plus

If interested in the 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 Length, please apply here with your CV, and we will get back if it's off interest to the client! :)

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Public Health, Hospitals and Health Care, and Data Infrastructure and Analytics

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

Owen Thomas | Pending B Corp™

Remote

GBP 125,000 - 150,000

3 days ago
Be an early applicant