The Bernhard Nocht Institute for Tropical Medicine 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 Department, led by Thomas Otto, is seeking a highly motivated

Bioinformatician for data integration (m/f/d)

– full-time or part-time, EG 13 TV-AVH –

Our group develops computational tools to study host-pathogen interactions and their evolution, with the goal of uncovering new strategies for intervention. This position focuses on integrating single-cell RNA-Seq and spatial transcriptomics data (e.g., Xenium, CosMx) to better understand pathogen-host dynamics. You would also investigate AI-driven approaches to model cell-cell interactions and facilitate cross-species data integration.

Core tasks of this position will include:

• Integrate multimodal data in the context of host-pathogen datasets
• Explore new integration methods
• Analyse single-cell transcriptomic and spatial datasets
• Work with pathogen and immunological datasets
• Develop and maintain computational pipelines for the BNITM research community
• Provide bioinformatics support to other BNITM groups
• Contribute to teaching and training activities within the Otto group
• Supervise bachelor’s, master’s, and PhD students
• Contribute to project development and independent research initiatives

Your profile:

• Completed PhD in the field of computer science, bioinformatics or biological sciences - or have equivalent expertise
• Strong expertise and experience in bioinformatics
• Expertise and experience in programming, R or Python
• Experience with genomics or transcriptomics, next-generation sequencing analysis
• Expertise in AI/ML is a plus
• Expertise working with pathogen datasets is a plus
• Expertise in immunology is a plus
• Experience in teaching 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:

• An interesting and challenging job in a creative, supportive and highly motivated team
• An attractive, interdisciplinary research environment with state-of-the-art facilities
• Opportunities to realise independent research projects
• 30 days of vacation per year
• Flexible and family-friendly working hours
• Childcare subsidy
• Subsidy for HVV-ProfiTicket as “Deutschlandticket” (Basic)
• Company pension scheme
• Opportunities for further education and training

Remuneration is paid in accordance with TV-AVH (collective agreement of the Hamburg Labour Law Association) in pay group EG 13. The position should start in October 2025 and is initially limited to 3 years.

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 assist women in their scientific career, increase the number of women in research and reduce under-representation in all areas and positions in general. We explicitly welcome applications from people with disabilities.

Contact:

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 08.09.2025 preferably online with the required documents (cover letter, CV, university certificates and a recent research paper/article as well as contact details of 2 references) via our online form.

Alternatively, you may apply by postal mail, referring to " Bioinformatician for data integration - Otto " to: Bernhard Nocht Institute for Tropical Medicine, HR Department, Bernhard-Nocht-Str. 74, 20359 Hamburg, Germany.

If you have any questions regarding the formal application process or the selection procedure, please contact Ms. Jeannette Meurer from the HR Department ( [email protected]).

For all other questions please contact Prof. Thomas Otto - [email protected]).