Quantum Chemistry ML Scientist for Drug Discovery

Quantum Chemistry ML Scientist for Drug Discovery

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
L

At a Glance

  • Tasks: Blend quantum chemistry with machine learning to model drug interactions and develop scalable pipelines.
  • Company: Join Roche, a leader in innovative drug discovery and AI technology.
  • Benefits: Hybrid work options, competitive salary, and opportunities for research publication.
  • Other info: Exciting career growth in a dynamic and collaborative environment.
  • Why this job: Make a real impact in drug discovery while collaborating with world-class researchers.
  • Qualifications: Experience in machine learning and quantum chemistry is essential.

The predicted salary is between 60000 - 80000 £ per year.

Roche invites applications for a Machine Learning Scientist to join the AI for Drug Discovery team.

The role blends quantum chemistry with machine learning to model small-molecule energetics and protein–ligand interactions.

The candidate will develop scalable pipelines and contribute to internal tools used for design and discovery.

You will collaborate with world-class researchers, publish findings, and share open-source code.

Hybrid work in Welwyn/Garden City, UK or Basel, with travel as needed. #J-18808-Ljbffr

Quantum Chemistry ML Scientist for Drug Discovery employer: Latinx in AI (LXAI)

Roche is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about the intersection of quantum chemistry and machine learning. With opportunities for professional growth through research collaboration and publication, employees benefit from a hybrid work model in the vibrant locations of Welwyn/Garden City or Basel, allowing for a balanced work-life experience while contributing to groundbreaking advancements in drug discovery.

L

Contact Details:

Latinx in AI (LXAI) Recruitment Team

We think you need these skills to ace Quantum Chemistry ML Scientist for Drug Discovery

Machine Learning
Quantum Chemistry
Small-Molecule Energetics
Protein–Ligand Interactions
Pipeline Development
Tool Development
Collaboration