Vacancy Description
Key responsibilities
What success looks like
In 3 months, you have:
- Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress.
- Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn’t
- Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem
- Expand and maintain our existing genAI tools so they keep pace with the team’s needs and a fast-moving ecosystem
- Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures
- Write clear, maintainable, well-documented code that others on the team can build on
What success looks like
In 3 months, you have:
- Got to grips with our agentic framework and the disco...
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