Postdoc in Bioinformatics / Computational Biology (all gender) - The Department of Nephrology a[...]

Universitätsklinikum Frankfurt; Offenbach am Main; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

Ein führendes medizinisches Forschungszentrum in Hessen sucht einen Postdoc in Bioinformatik/Computational Biology. Die Stelle erfordert ein Doktorat in einem quantitativen Feld sowie Erfahrung in der Analyse von NGS-Daten. Zu den Hauptaufgaben gehören die Entwicklung von KI-Modellen zur Analyse komplexer Gesundheitsdaten und die Zusammenarbeit mit interdisziplinären Forschungsteams. Der Anbieter bietet ein attraktives Gehalt, betriebliche Altersvorsorge und umfassende Weiterbildungsmöglichkeiten.

Leistungen

Attraktives Gehalt gemäß TV-G-U

Betriebliche Altersvorsorge

Kostenloser ÖPNV in Hessen

Interne und externe Schulungen

Qualifikationen

• Doktorat in Bioinformatik oder verwandten Disziplinen.
• Erfahrung in der Analyse von NGS-Daten.
• Starkes Interesse an kardiovaskulären und Nierenerkrankungen.

Aufgaben

• Studie des hämatopoetischen Systems.
• Entwicklung und Anwendung von KI-Modellen.
• Integration großer Datensätze zur Risikoprofilanalyse.

Kenntnisse

Programmieren in R

Programmieren in Python

Datenanalyse

Bioinformatik

Maschinelles Lernen

Kardiovaskuläre und Nierenerkrankungen

Ausbildung

PhD in Bioinformatik, Statistik oder verwandten Feldern

Tools

Bioconductor

Scanpy

PyTorch

TensorFlow

Jobbeschreibung

Postdoc in Bioinformatics / Computational Biology (all gender)

Department of Nephrology and Else Kroener-Fresenius Center

Anstellungsart : Limited Contract
Arbeitsmodell : Full Time
Ausschreibungsnummer : 2148486

Responsibilities

• Study the role of the hematopoietic system as a hub between cardiovascular and kidney diseases by leveraging large-scale multi-omics and clinical data.
• Analyze and integrate single-cell RNA‑seq (scRNA‑seq), single‑cell ATAC‑seq (scATAC‑seq) and spatial transcriptomics datasets.
• Develop and apply AI‑ / machine‑learning‑based models (e.g. deep learning, representation learning) to dissect cellular states, trajectories and regulatory networks.
• Integrate large‑scale population and biobank datasets (e.g. UK Biobank) with multi‑omics data to identify risk profiles, molecular signatures and causal pathways.
• Collaborate closely with experimental and clinical researchers to generate and test mechanistic hypotheses.
• Prepare scientific manuscripts and present results at national and international conferences.
• Contribute to supervision and mentoring of students (Master / PhD) in the field of bioinformatics and computational biology.

Qualifications

• PhD (or equivalent) in bioinformatics, computational biology, computer science, statistics, systems biology, medical data science or a related quantitative field.
• Strong interest in cardiovascular and kidney diseases, translational research and precision medicine.
• Proven track record in bioinformatics / data science (e.g. publications, preprints, software, or analysis pipelines).
• Solid experience with analysis of NGS data, ideally including one or more of:
  • scRNA‑seq
  • scATAC‑seq
  • spatial transcriptomics
• Strong programming skills in R and/or Python and experience with common bioinformatics and ML frameworks (e.g. Bioconductor, Scanpy, PyTorch, TensorFlow).
• Very good knowledge of statistics and machine learning; experience with deep learning or probabilistic modelling is an advantage.
• Experience with large‑scale data handling (HPC environments, cloud computing, containers, workflow managers).
• Very good command of English (spoken and written); German is an asset but not mandatory.
• Organized, team‑oriented, proactive, open‑minded and good communication skills.
• Due to legal regulations, valid proof of measles immunity / measles vaccination is required.

Benefits

• Attractive salary based on a collective agreement (TV‑G‑U) with an annual special payment.
• Long‑term security through company pension schemes.
• Full‑time 40 h / week, limited to 2 years, possible starting option 01.02.2026.
• Internal and external training for professional development.
• Health offers: regular online and face‑to‑face courses on nutrition, relaxation, sports and exercise.
• Part‑time employment possible; childcare in our daycare center (contact UKF‑Familienservice) and childcare during holidays.
• Free public transport in Hessen (Free State Ticket Hessen).
• Uniklinik‑Campus, Mensa, Cafés.

Contact

Prof. Dr. Dr. Thimoteus Speer (Department of Internal Medicine 4)
Email: [e-mail]

Application

Application Deadline: 21.12.2025

Please send your application with the usual documents consisting of CV, letter of motivation and two references (one PDF‑document please!). Please do not submit any originals as the application documents cannot be returned. Travel and application costs cannot be reimbursed.

We welcome applications from candidates of all genders. Women are currently underrepresented in these positions at Universitätsmedizin Frankfurt. Therefore, applications from women are especially encouraged. Applicants with severe disabilities will be given preferential consideration in cases of equal personal and professional qualifications.