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Postdoc­toral Researcher (f/m/d) in Medical Bioin­for­matics (University Medical Center Göttingen)

We are seeking a

Postdoc­toral Researcher (f/m/d)

Full-time (100%)  TV‑L  ·  initially 2 years (with option of extension)

 

About Us

The Department of Medical Bioin­for­matics at the University Medical Center Göttingen is a leading research group in the bioin­for­matic analysis of biome­dical high-throughput data. Our work focuses on the develo­pment of biomarker signa­tures, statis­tical methods, and machine learning approaches for perso­na­lised and systems medicine.

We are embedded in multiple DFG- and BMBF-funded colla­bo­rative research projects, with a strong focus on the analysis of cancer omics data — including genomics, transcrip­tomics, and spatial transcrip­tomics — and the develo­pment of innovative AI and machine learning methods. We work in close colla­bo­ration with clinical and experi­mental partners in national and inter­na­tional research consortia.

 

Your Tasks

  • Analysis and integration of cancer multi-omics datasets (transcrip­tomics, epige­nomics, drug-response data)
  • Develo­pment of machine learning and AI models for biomarker discovery and prediction of treatment response
  • Appli­cation and further develo­pment of graph-based learning methods enriched with biolo­gical pathway and drug–target knowledge
  • Bench­marking of novel models against existing compu­ta­tional approaches
  • Inter­pre­tation of results in close colla­bo­ration with clinical and experi­mental consortium partners
  • Independent management of bioin­for­matics sub-projects and contri­bution to project coordi­nation
  • Prepa­ration and submission of scien­tific manuscripts and reports

 

Your Profile

  • PhD in Bioin­for­matics, Compu­ta­tional Biology, Computer Science, or a closely related field
  • Proven experience in machine learning or deep learning applied to biome­dical data
  • Strong programming skills in Python, R, or similar languages
  • Expertise in the analysis of large-scale omics datasets (e.g. transcrip­tomics, methy­lomics, drug-response data)
  • Experience with graph-based methods or network biology is an advantage
  • Track record of scien­tific publi­ca­tions appro­priate to career stage
  • Ability to work independently and lead projects, while colla­bo­rating effec­tively in an inter­di­sci­plinary team
  • Excellent written and spoken English; knowledge of German is advan­ta­geous

 

What We Offer

  • A leading research environment at the inter­section of AI, multi-omics, and trans­la­tional cancer medicine
  • Colla­bo­ration with national and inter­na­tional clinical and experi­mental partners
  • Access to large-scale biome­dical datasets and state-of-the-art computing infra­structure
  • Salary according to TV‑L (full-time, 100%) for an initial period of 3 years, with the possi­bility of extension
  • Additional occupa­tional pension scheme (VBL)
  • Company health management programme and sports facilities
  • Support for career develo­pment, confe­rence atten­dance, and inter­na­tional networking
  • A position in Göttingen — a vibrant university city with a rich scien­tific tradition

 

Diversity & Inclusion

The University Medical Center Göttingen is committed to profes­sional equality for all genders and actively works to achieve gender balance across all areas. We warmly welcome appli­ca­tions from severely disabled persons, who will be given prefe­rential conside­ration in the case of equal suita­bility in accordance with appli­cable regula­tions. Please indicate any disability or relevant status in your appli­cation to ensure your interests are protected.

 

How to Apply

Please submit your appli­cation (CV, cover letter, and relevant certi­fi­cates) by 12.06.026via the following link:

https://umg.recruiting-portal.com/r/z10iypob1b9umbp/Postdoctoral+Researcher+fmd/37075/G%C3%B6ttingen

 

Please note that travel and appli­cation costs cannot be reimbursed.

We look forward to receiving your appli­cation!