Postdoctoral Research Fellow (m/f/d)

Universitätsklinikum Carl Gustav Carus Dresden; Dresden; Sur place; EUR 60 000 - 75 000; Plein temps

Avantages offerts par ce poste

Compensation: TV-L E13, plus annualBON

30 days vacation

Professional development opportunities

Company culture and team events

Mobility subsidy for job ticket

Health and wellness programs

Employee discounts and benefits

Family support and flexible work

Résumé du poste

Universitätsklinikum Carl Gustav Carus Dresden invites applications for a Postdoctoral Research Fellow (m/f/d) in the field of Metabolic-Vascular Medicine. The appointment is for 24 months, starting 1 December 2026, with a full- or part-time option and TV-L pay scale up to E13. The successful candidate will join the team of Prof.

Dr. Nikolaos Perakakis at TU Dresden to integrate multi-omics data for understanding metabolic diseases, publish high-impact work, and contribute to supervision of

Qualifications

• PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or related field with doctoral degree after 2021.
• Proven experience in multi-omics data (proteomics, metabolomics, genomics/transcriptomics).
• Strong expertise in machine learning and advanced statistical modelling.
• Proficiency in Python and/or R with omics-analysis libraries.
• Experience with clinical/biomedical data and high publication record.

Responsabilités

• Conduct multi-omics data integration and advanced statistical analyses.
• Develop and apply machine learning models for biomarker discovery and patient stratification.
• Collaborate with clinicians and researchers in an interdisciplinary setting.
• Publish high-impact papers and present at conferences.
• Contribute to supervision of PhD students and junior researchers.

Connaissances

Multi-omics analysis

Machine learning

Python

R

Statistics

English communication

Independent work

Formation

PhD in Bioinformatics/Computational Biology or related

Outils

Python libraries (ML)

R libraries for omics

Description du poste

in the field of Metabolic-Vascular Medicine

The position is available starting December 1, 2026, on a full-time or part-time basis for a fixed term of 24 months. Remuneration is based on the provisions of the Collective Agreement for the Public Service of the Federal States (TV-L); classification in pay group E13 is possible, subject to the fulfillment of personal requirements.

Postdoctoral Research Fellow (m/f/d)

The research group of Prof. Dr. Nikolaos Perakakis is seeking for a highly motivated and talented Postdoctoral Research Fellow (max. 6 years from the acquisition of the doctoral degree) to join our interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic-dysfunction associated steatotic liver diseases).

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.

Your 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

• PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field – (Doctoral degree should not have been acquired earlier than 2021)


• 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, experience with machine learning and omics analysis libraries


• Experience with clinical and/or biomedical data and/or epidemiologic studies is highly desirable


• Strong publication record in relevant fields


• Experience in the field of immunology and of FACS analysis is a plus


• Ability to work independently and in a collaborative, interdisciplinary environment


• Excellent written and spoken English communication skills

We offer

• Compensation:Based on the TV-L collective bargaining agreement in pay gradeE13, plus an annual bonus, provided you meet the personal requirements


• Vacation:30 days of paid vacation


• Professional Development:Extensive internal and external training and development opportunities to continuously strengthen your skills


• Company Culture:We value transparency, team spirit, and shared success. Celebrate with us at company gatherings or sporting events like the Rewe Team Challenge


• Mobility:A subsidy for a job ticket to make your commute eco-friendly and convenient


• Health:We promote your well-being with modern fitness and exercise programs at our health center, mental health programs, and a comprehensive workplace health management program


• Shopping benefits:Take advantage of employee discounts at our clinic pharmacy, exclusive corporate benefits, and other shopping portals


• Work-life balance:Our Family Office supports you with questions regarding daycare spots, vacation programs, and caring for family members. We also offer flexible work arrangements