- Location
- London
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Drug Discovery Programs
- Experience
- 6+ years
- Source
- Lever
Description
The Role
AQEMIA is building a new generation of AI-driven drug discovery workflows, and this role is critical to scaling the speed and reliability of our pre-program screening operations. As Computational Chemist – Pre-Programs, you will own the end-to-end execution and monitoring of QEMI virtual screening and hit expansion campaigns, from structure selection and target preparation to active hit selection. This role exists to remove operational bottlenecks that currently depend on build-team capacity, enabling pre-programs to progress with greater autonomy, consistency, and throughput.
You will combine scientific judgment, operational ownership, and hands-on problem solving to ensure screening campaigns are delivered with high quality and reproducibility across all active pre-programs. Beyond execution, you will play a key role in identifying why runs succeed or fail and translating those learnings into actionable feedback for platform and product teams. Within 12 months, success in this role will mean a standardized, resilient, and scalable screening workflow that accelerates AQEMIA’s ability to identify high-quality hits across multiple discovery programs.
