Job Details

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Overview

Join a pioneering drug development start-up on a mission to revolutionize how new medicines are created. We're building next-generation AI systems to design and optimize drug development experiments, bringing cutting-edge machine learning to the heart of chemistry, biology, and pharma.

In this role, you'll work at the intersection of AI, computational chemistry, and drug discovery, collaborating with leading biotech and pharma partners to advance real-world drug programs. You'll interpret AI/ML predictions on molecular structures, guide experimental design, and play a key role in shaping our AI-driven discovery platform. Your contributions will directly influence hundreds of drug projects, accelerating the path from concept to cure.

What you'll do:

• Apply machine learning to molecular modeling, cheminformatics, and drug discovery challenges.
• Analyze AI/ML predictions on chemical structures to inform experimental strategy.
• Collaborate with scientists across chemistry and biology to design AI-enhanced workflows.
• Contribute to improving state-of-the-art AI models for molecular design.
• Communicate findings, present research, and help shape the direction of our platform.

What we're looking for:

• Expertise in computational chemistry, cheminformatics, or ML for chemistry (industry drug discovery experience a strong plus).
• Proficiency in Python and cheminformatics libraries such as RDKit or Datamol.
• Hands-on experience with molecular modeling techniques.
• Strong communication skills and the ability to work closely with multidisciplinary scientific teams.
• A passion for applying AI to accelerate real-world scientific breakthroughs.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Research

Industries

• Biotechnology Research and Pharmaceutical Manufacturing