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Phd student (f/m/d)

Göttingen
Studentenjob
informatik e.V.
Aushilfe
Inserat online seit: 13 Juni
Beschreibung

We are seeking a

PhD Student (f/m/d)

Part-time (65%) · TV‑L · 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.
Within these research groups, we offer ambitious young scien­tists the oppor­tunity to work at the forefront of research in Medical Bioin­for­matics. Possible topics for doctoral theses are deeply rooted in the analysis of complex datasets and the develo­pment of methods essential for progress in the treatmemt of cancer.
We are looking for PhD candi­dates interested in statis­tical data analysis, machine learning methods, gene regulation, bioin­for­matics, and integrative omics approaches.

Your Tasks

* Analysis of cancer multi-omics data (transcrip­tomics, epige­nomics, metage­nomics)
* Develo­pment and appli­cation of statis­tical and machine learning approaches for biomarker discovery
* Integration of multi-omics datasets across patient cohorts
* Processing and analysis of NGS-based datasets and bioin­for­matics pipelines
* Contri­bution to the inter­pre­tation of results in close colla­bo­ration with clinical and experi­mental partners
* Support in data and project management
* Prepa­ration of scien­tific manuscripts and reports

Your Profile

* Sc. or Diploma in Bioin­for­matics, Computer Science, Data Science, Biology, or a related field
* Solid under­standing of biolo­gical and biome­dical concepts, parti­cu­larly in the context of cancer or genomics
* Experience and strong interest in machine learning, statis­tical modelling, and data science
* Profi­ciency in at least one programming language (Python, R, or similar)
* Familiarity with NGS data analysis and bioin­for­matics workflows is an advantage
* Enthu­siasm for working with large, complex, and hetero­ge­neous datasets
* Interest in inter­di­sci­plinary research and colla­bo­ration across multiple insti­tu­tions
* Excellent written and spoken English; knowledge of German is advan­ta­geous
* High motivation, initiative, and the ability to work both independently and as part of a team

What We Offer

* An exciting research environment at the interface of bioin­for­matics, AI, and cancer medicine
* Struc­tured mentoring and a supported onboarding process
* A diverse, inter­di­sci­plinary, and multi-profes­sional working environment
* Access to state-of-the-art bioin­for­matics infra­structure and large-scale biome­dical datasets
* Salary according to TV‑L (part-time, 65%) for an initial period of 3 years, with the possi­bility of extension
* Additional occupa­tional pension scheme (VBL)
* Company health management programme and sports facilities
* 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 12.06.2026 via the following link:
Please note that travel and appli­cation costs cannot be reimbursed.
We look forward to receiving your appli­cation!

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