The Research Group and the Opportunity
The research group of Prof. Dr. Nikolaos Perakakis at the Techische Universität Dresden is seeking a highly motivated and talented Postdoctoral Research Fellow to join an interdisciplinary team focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases.
Our Research Focus and Expertise
Our group is part of a vibrant scientific community at the TU Dresden and works closely with national and international partners within initiatives such as the German Center for Diabetes Research (DZD) and the TransCampus collaboration with King’s College London. We analyze large clinical cohorts and experimental models to unravel disease mechanisms and identify novel biomarkers by integrating proteomics, metabolomics, and genomics / transcriptomics data with machine learning techniques.
Responsibilities
- Conduct multi-omics data integration and advanced statistical analyses in ongoing and newly initiated projects on metabolic diseases
- Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories
- Collaborate with clinicians, bioinformaticians, systems biologists, and experimental researchers in a highly interdisciplinary setting
- Publish high-impact scientific papers and present results at national and international conferences
- Contribute to the supervision of PhD students and junior researchers
Your Profile
The ideal candidate should hold a PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field, with a doctoral degree obtained no earlier than 2020. They should also have a proven experience in the analysis of multi-omics data (proteomics, metabolomics, and/or genomics, transcriptomics), strong expertise in machine learning and advanced statistical modeling, proficient programming skills in Python and/or R, and experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch, Bioconductor).
Desirable Qualifications
- Experience with clinical and/or biomedical data
- Experience in the field of immunology and of FACS analysis
- Strong publication record in relevant fields
- Ability to work independently and in a collaborative, interdisciplinary environment
- Excellent written and spoken English communication skills
Our Offer
Our group provides an inspiring and collaborative research environment at the Technische Universität Dresden, the Paul Langerhans Institute Dresden (PLID) – part of the German Center for Diabetes Research (DZD) – as well as the TransCampus initiative. We offer access to extensive, well-characterized clinical cohorts and experimental models, opportunities to contribute to cutting-edge translational research with direct benefits for patients with metabolic diseases, and offers for professional development, mentoring, and scientific networking.
Remuneration and Benefits
| Remuneration | Benefits |
|---|---|
| According to TV-L | Fixed annual special payment and company pension scheme |
| 30 days of paid leave, including Christmas Eve and New Year’s Eve off if they fall on a weekday | Health and wellness programs, employee benefits, and other perks |
Application and Information
To apply, please send your application as a single PDF including:
* Cover letter (max. 1 page)
* Curriculum vitae with list of publications
* Contact details of at least two referees
to Nikolaos.Perakakis@ukdd.de. Application deadline: Applications will be considered on a rolling basis until the position is filled. Preferable starting date is the 1st of November 2025, but earlier (not later) start might also be possible. We are committed to diversity and equal opportunities, and encourage applications from all qualified individuals, regardless of gender, nationality, ethnic or social origin, disability, age, or sexual orientation.
