Research Assistant (m/f/d) - Systems Biology & Bioinformatics

Universität Rostock; Rostock; On-site; EUR 48,000 - 60,000; Full time

Job summary

The University of Rostock invites applications for a Research Assistant (m/f/d) in Systems Biology & Bioinformatics at the Chair of Systems Biology and Bioinformatics. The position is full-time, with funding for the MICRO-NEST project ending on 31.08.2031, located in Rostock, Germany, and offers remuneration under TV-L pay group 13.

We seek a highly motivated scientist with a strong background in computational biology, transcriptomics and interdisciplinary collaboration, fluent in English, and

Qualifications

• Master's degree in systems biology / bioinformatics, computer science, biotechnology or related field with very good results.
• Strong computational analysis experience with transcriptomic or other biomedical data.
• Proficiency in Python and/or R programming.
• Interest in interdisciplinary biomedical research.
• Fluent in English, written and spoken.
• Ability to work in interdisciplinary teams and communicate with project partners.
• Desirable: experience with biological networks, pathways or cell-cell communication analysis.
• Desirable: knowledge of machine-learning and statistical methods for biomedical data analysis.
• Desirable: experience with imaging-derived biological data and biological databases/APIs.
• Desirable: experience in FAIR data management.
• Structured, proactive, solution-oriented working style with collab mindset.
• Ability to critically evaluate methods and communicate results clearly.

Responsibilities

• Research in the field of systems medicine.
• Develop methods/workflows for integration and analysis of heterogeneous biomedical data.
• Analyze and integrate transcriptomic, imaging and other multimodal datasets.
• Construct, curate and analyze network-based methods to identify markers and targets.
• Integrate biological databases, pathway info and external data into analyses.
• Contribute to patient-specific computational models and the Patient-Personalised Autism Digital Twin.
• Collaborate with clinical, experimental and computational partners.
• Publish and present results; contribute to scientific organization of the project.

Skills

Computational data analysis

Python or R programming

English proficiency

Team collaboration

Interdisciplinary interest

Biological networks

Machine-learning basics

Imaging-derived data

FAIR data management

Critical method evaluation

Education

Master's degree in Systems Biology / Bioinformatics / related

Job description

The University of Rostock offers a diverse, varied and challenging position in a tradition-conscious, yet innovative, modern and family-friendly university in a lively city by the sea.

At the Faculty of Computer Science and Electrical Engineering, Chair of Systems Biology and Bioinformatics, subject to allocation of funds, we are filling the following position at the earliest possible date on a temporary basis for the duration of the project MICRO-NEST ending on 31.08.2031:

Research Assistant (m/f/d) - Systems Biology & Bioinformatics

Start date at the earliest possible date

Working hours full-time with 40 hours

Remuneration pay group 13 TV‑L

Location Rostock

Tender number P 126/2026

Limitation limited until 31.08.2031

Application time 2026-11-06

HR department:
Pia-Lucy Dahl

Phone number: 0381/498-1291

E‑mail:
[e-mail]

Department:
Prof. Dr. Olaf Wolkenhauer

Phone number: 0381/498-7570

E‑mail:
[e-mail]

MICRO-NEST is a Horizon Europe project investigating interactions between the microbiome, immune system and brain in neurodevelopment and autism. At the University of Rostock, the project focuses on integrating heterogeneous molecular, imaging and clinical datasets into an Autism Knowledgebase and applying network-based and machine-learning approaches to develop personalised computational models. The resulting models will be used to investigate disease mechanismus and identify predictive markers and potential therapeutic targets.

These are your tasks:

• research in the field of systems medicine
• develop methods and workflows for the integration and analysis of heterogeneous biomedical data
• analysis and integration of transcriptomic, imaging and other multimodal biomedical datasets
• construction, curation and analysis of biological network-based methods to identify predictive markers and therapeutic targets
• integration of biological databases, pathway information and external data resources into computational analyses
• contributing to the development of patient-specific computational models and the Patient-Personalised Autism Digital Twin
• close interdisciplinary collaboration and coordination with clinical, experimental and computational partners
• writing, publishing and presenting scientific results and contributing to the scientific organisation of the project

This makes you a good fit:

• completed university degree (master's degree, diploma or comparable degree) in systems biology / bioinformatics, computer science, biotechnology, biology or a related field with very good results
• very good experience in the computational analysis of transcriptomic or other biomedial data
• very good experience in programming with Python and/or R
• keen interest in interdisciplinary biomedical research
• fluent in the English language, both written and spoken
• ability to work in interdisciplinary teams and communicate effectively across project partners
• desirable are
• experience with biological network, pathway or cell‑cell communication analysis
• knowledge of machine‑learning and statistical methods for biomedical data analysis
• experience with imaging‑derived biological data and biological databases/APIs
• experience in FAIR data management
• a structured, solution‑oriented and proactive working style, with the ability to establish and coordinate scientific collaborations
• ability to critically evaluate computational methods and communicate complex results clearly to collaborators with different scientific backgrounds

We as an employer:

Equal opportunities are important to us. We welcome applications from suitable severely disabled people or people from traditionally underrepresented groups. We aim to increase the proportion of women in research and teaching and therefore encourage suitably qualified women to apply. We welcome applications from people of other nationalities or with a migration background.

Further information:

We will determine the experience level individually, taking into account your previous professional experience.

If you would like to work part-time in this position, this is possible subject to the requirements of the position.

The temporal limitation of the employment relationship is based on

• 2 (2) Wissenschaftszeitvertragsgesetz.

The Department of Systems Biology & Bioinformatics specializes in computational systems biology, network modelling, biomedical data integration and machine learning. We are an international and multidisciplinary team with a strong collaborative network and provide excellent opportunities for scientific training and doctoral research.