Postdoctoral ML Scientist — Organoid & Drug Discovery

Roche; Basel; Sur place; CHF 110 000 - 140 000; Plein temps

Résumé du poste

The Roche-led Institute of Human Biology (IHB) in Basel invites applications for a Postdoctoral Researcher to develop machine learning methods for organoid phenotyping and high-throughput screening. You will lead computational projects aimed at advancing drug discovery with human model systems.

Working with top computational and experimental scientists, you will publish results, contribute open-source tools, and shape future experiments with translational impact while building scientific

Qualifications

• PhD in computational biology, computer science, machine learning, bioinformatics, or related technical fields.
• Track record of independent research demonstrated by publications, preprints, or substantial software.
• Strong ML experience applied to genomics or high-dimensional biological data.

Responsabilités

• Lead a project developing computational methods for organoid phenotyping and high-throughput screening.
• Publish results and contribute open-source tools to the scientific community.
• Collaborate with experimental scientists and shape future experiments with translational impact.

Connaissances

Python

Machine learning

Statistical modeling

Scientific computing

Formation

PhD in computational biology / comp sci / ML

Outils

JAX

PyTorch

TensorFlow

Description du poste

The Roche-led Institute of Human Biology (IHB) in Basel invites applications for a Postdoctoral Researcher to develop machine learning methods for organoid phenotyping and high-throughput screening. You will lead computational projects aimed at advancing drug discovery with human model systems.

Working with top computational and experimental scientists, you will publish results, contribute open-source tools, and shape future experiments with translational impact while building scientific