The Bernhard Nocht Institute for Tropical Medicine ( http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association.

The Computational Infection Biology

PhD Student (in data science, m/f/d)

– full-time, EG 13 TV-AVH –

Our group develops computational approaches to understand host–pathogen interactions and their evolution, with the long-term goal of identifying new strategies for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models, that capture cellular responses to infection across tissues and conditions. The candidate will investigate systematic biases and biological confounders in existing datasets, develop computational strategies to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance the use of foundation models for integrative, predictive modelling of host–pathogen systems.

Core tasks of this position will include:

Train, explore, and modify transformer-based models Characterize the nature, extend and impact of systematic biases and confounding variables and improve models to correct for these variables. Integrate multimodal data sources in the context of host-pathogen datasets Establish predictive pipeline for transfer learning and drug target discovery Apply models on pathogen and immunological datasets Provide bioinformatics support to other BNITM groups Contribute to teaching and training activities within the Otto group Contribute to project development and independent research initiatives Your profile:

Expertise and experience in programming, Python or R Expertise to work in a Linux environment Interest in biological questions and disease mechanisms Basic understanding of opportunities and limitations of LLMs and transformer models Experience with genomics or transcriptomics, next-generation sequencing analysis is a plus Expertise in AI/ML is a plus Experience with job submission systems/HPC is a plus Proficiency in English (oral and written) Excellent organisational skills and ability to plan and execute experiments independently and flexibly Strong team spirit and communication skills Creative mindset and strong problem-solving capabilities Proficiency in commonly used office software is expected (e.g. Office, Adobe is a plus) What we offer:

We support our employees in achieving a work-life balance and promote the professional equality of women, men and non-binary people. We strive to support women in their scientific careers, increase the number of women in research, and reduce underrepresentation across all areas and positions. We explicitly welcome applications from people with disabilities.

As a member of the Diversity Charter , the largest diversity management network in Germany, we are also committed to making diversity an integral part of our institute culture. It is our goal to create a working environment that is free of prejudice.

Please apply by 25.03.2026 online with the required documents (cover letter, CV, university certificates and your master project abstract/software project summary, as well as contact details of 2 references) via our online form .

If you have any questions regarding the formal application process or the selection procedure, please contact Ms. Jeannette Meurer from the HR Department ( meurer@bnitm.de ).

For all other questions, please contact Prof. Thomas Otto - thomas.otto@bnitm.de .