Assistant​/Associate​/Full Professor Computational Biology

Assistant/Associate/Full Professor Computational Biology

Leiden University was founded in 1575 and is one of Europe’s leading international research universities.

Applying is possible until: 15 maart 2026

The Faculty of Science, Institute of Biology (IBL), is looking for candidates for a position as Assistant / Associate / Full Professor in Quantitative and Computational Biology or Bioinformatics in line with one or more of the leading themes of IBL:
Bioactive Molecules, Host-Microbe Interactions, Development & Disease and Evolution & Biodiversity. The IBL performs research across all forms of life and has a strong capacity to generate diverse types of data, including omics data, analytical data, imaging data and ecological data. Through this position, we aim to strengthen research and methodological innovation capacities for data analysis and multimodal data integration across organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or computational modelling approaches.

Moreover, the candidate will have a leading role in expanding and professionalizing the growing computational biology research community at the IBL and fostering strategic partnerships within and beyond Leiden University. Finally, the person appointed will be involved in shaping educational innovations to train the next generation of biologists to be proficient in data science and quantitative approaches.

The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to make a contribution to addressing the major societal challenges of the future.

The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight bachelor’s and twelve master’s programmes. The faculty has grown strongly in recent years and now has more than 2300 staff and almost 5000 students.

We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together.

The Institute for Biology

The research within the Institute of Biology Leiden(IBL) aims to work on the science base of biodiversity and health, which is reflected in our leading principle Harnessing Biodiversity for Health.

Weperform innovative curiosity-driven research to answer fundamental questions, and solutions-driven research to help solving major societal challenges. The latter include protecting nature’s biodiversity, creating sustainable biotechnology and agriculture and increasing good health. Located in a thriving scientific environment with our Faculty of Sciences, Naturalis Biodiversity Centre, the Leiden University Medical Centre and the Leiden Bioscience Park, IBL offers an exciting, internationally oriented and inclusive place to work and study.

• PhD in computational biology, bioinformatics or a related field with a strong publication record
• A visionary (future) leader in the field, with an independent research line in quantitative and biological data analysis
• Excited to play a key role in any, or various, of our research themes.
• Proven ability to acquire research funding
• Proven methodological innovation capacities using network/systems analysis, machine learning, multimodal data integration or other areas relevant to the IBL
• Track record in collaboration and community building, ideally including across scientific (sub) disciplines and/or across multiple kingdoms of life.
• Clear educational vision on how to teach biology students quantitative and computational skills
• University Teaching Qualification or willingness to acquire…