This postdoctoral fellowship offers a unique opportunity to advance the use of artificial intelligence and machine learning for chemical synthesis and reactivity prediction in drug discovery. The successful candidate will develop and apply state‑of‑the‑art predictive models using large‑scale reaction datasets to improve chemical decision‑making, reaction optimisation, and molecular design, while collaborating with experts across data science, computational chemistry, medicinal chemistry, and synthesis technology. The project aims to accelerate the Design–Make–Test–Analyse cycle and contribute to next‑generation AI‑powered approaches for discovering new medicines.

Location: Basel, Switzerland

Duration: 3 years

Program start date: October 1, 2026

Key Responsibilities

• Analyze large‑scale chemical reaction datasets from proprietary and public sources to identify trends, opportunities, and challenges in chemical synthes...