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Posted Yesterday•Luxembourg, Luxembourg, Luxembourg

Research Engineer - Post-Training

MiddleOn-site (Luxembourg)Salary undisclosed
Required Skills
PythonNode.jsPyTorch
Job Description

Helical is building the in-silico labs for biology

Drug discovery still relies on wet labs: slow, expensive, and constrained by physical trial-and-error. Helical is changing that.

We build the application layer that makes Bio Foundation Models usable in real-world drug discovery, enabling pharma and biotech teams to run millions of virtual experiments in days, not years. Today, leading global pharma companies already use Helical, and we’re at the start of a highly ambitious growth journey.

We’re a founder-led, talent-dense team building a category-defining company from Europe. We care deeply about the quality of our work, move fast, and expect ownership. If you’re excited by complexity, real responsibility, and shaping how a company actually operates as it scales, you’ll feel at home here.

At Helical, we’re focused on leveraging research to transform the future of drug discovery. We are seeking an Applied Research Engineer - Post-Training to join our team, focusing on maximizing the performance of cutting-edge foundation models in real-world applications.

Your Role

You will own the full post-training lifecycle for biological foundation models—from alignment strategy to production deployment. This means designing and running pipelines that transform general-purpose models into therapeutic-specific tools for our pharma clients. You'll work directly with real drug discovery problems: adapting models to disease areas, ce

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