Postdoctoral scholar
Novartis AG
Basel, Switzerland
vor 13 Tg.

Job Description

This position offers the exciting opportunity to research on machine learning of structure activity data at largest possible scale.

The successful candidate will be part of a cross-functional team collaborating with other pharmaceutical industry and public partners within a project of the EU innovative medicines initiative (IMI).

This project is dedicated to privacy preserving multi-task machine learning on the federated data of all industry partners.

Exploring the use of high content imaging data and single concentration HTS auxiliary data to boost prediction on dose-response assay data is part of this project and will be research focus of the successful candidate.

For this, we are looking for an enthusiastic postdoctoral researcher with a strong background in data science and experience in working with either chemical structure data or small molecule screening data including imaging.

Minimum requirements

PhD in natural or technical sciences with a focus on computational and / or statistical approaches

  • Fluent in English, German and / or French is a plus
  • Hands-on experience with general machine learning libraries
  • Programming skills in languages such as python
  • Working experience with at least one of the following data types : chemical structure data, high throughput screening data, or imaging data
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