Postdoctoral Researcher (m/f/d) – Institute for Pharmacology and Toxicology
Otto-von-Guericke-Universität Magdeburg - Medizinische Fakultät
39120 Magdeburg
Bewerbungsfrist: 2026-10-15
Overview
- Postdoctoral Researcher positions in the Institute for Pharmacology and Toxicology at Otto-von-Guericke-University Magdeburg (Faculty of Medicine). Two positions with complementary experimental and computational focuses in spatial transcriptomics of the nervous system.
Your Responsibilities
- Design, plan, and conduct spatial transcriptomics experiments on neural tissue samples
- Analyze and interpret complex spatial and single-cell genomic datasets
- Collaborate with neuroscientists, computational biologists, and clinicians within and outside the group
- Present findings at lab meetings, seminars, and international conferences
- Prepare manuscripts for peer-reviewed publication
- Contribute to grant writing and mentoring of graduate/undergraduate students
- Maintain rigorous documentation and adhere to good research and data management practices
Essential Qualifications
- A PhD (completed or close to completion) in Neuroscience, Molecular/Cell Biology, Genomics, Bioinformatics, Computational Biology, or a related field
- Demonstrated research productivity (peer-reviewed publications and/or preprints)
- Strong written and verbal communication skills in English
- For the experimental-focus position: Hands-on experience with molecular biology techniques (e.g., histology, immunohistochemistry, in situ hybridization, RNA-seq library prep)
- For the experimental-focus position: Experience with spatial transcriptomics platforms (e.g., Visium, MERFISH, Xenium, seqFISH) is highly desirable
- For the computational-focus position: Strong programming skills (Python and/or R)
- For the computational-focus position: Experience analyzing single-cell/single-nucleus RNA-seq or spatial transcriptomics data
- For the computational-focus position: Familiarity with relevant packages/tools (e.g., Scanpy, Seurat, Squidpy, STUtility) and statistical/machine learning methods
- For the computational-focus position: Experience with high-performance/cluster computing is a plus
We offer
- Access to cutting-edge spatial transcriptomics and imaging technology
- A collaborative, interdisciplinary, and supportive research environment
- Funding and support to attend international conferences
- Opportunities for career development, mentoring, and grant-writing training
- Work and family in harmony: childcare may be available, subject to availability
- Discounted public transportation through a job ticket
- A diverse range of sports and relaxation activities as part of workplace health promotion program
- Onboarding: orientation program with important information and training sessions
Terms and Conditions
- Salary: The salary group E 13 according to “Tarifvertrag für den öffentlichen Dienst der Länder” awaits you
- Appointment: Full-time position, with a workload of 2.5 years, starting on 2027/01/01
- Work Location: Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Leipziger Str. 44, 39120 Magdeburg
Your application:
- A cover letter describing your research interests, relevant experience, and motivation for applying (max 1–2 pages)
- A full CV, including a list of publications
- Contact details for two–three references
- Online application by E-Mail: bewerbung@med.ovgu.de - (Reference number: 601-2026)
- By Post: Otto von Guericke University Magdeburg, Faculty of Medicine, Personnel Division - Recruiting, Reference number: 601-2026, Leipziger Str. 44, 39120 Magdeburg
Contact
- For further questions, please contact Mrs. Dr. Julia Rödiger@julia.roediger@med.ovgu.de
Weitere Hinweise
- If you have an international vocational or academic qualification, your application must be accompanied by a certificate evaluation from the Central Office for Foreign Education (KMK). If you do not yet have a certificate evaluation, you will need to apply for one if your application is successful.
- The university is committed to diversity and equal opportunity and encourages applications from qualified women. Applications from persons with a certified serious disability will be given preferential consideration when equally suitable.