Computer Scientist/ Computational Biologist (f/m/x)

Uniklinik Köln; Köln; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Ein führendes Universitätsklinikum in Köln sucht einen Computer Scientist/Computational Biologist. Ihre Aufgabe umfasst die Standardisierung von computergestützten Arbeitsabläufen für Krebsgenomik-Projekte sowie das Management der IT-Infrastruktur. Voraussetzungen sind ein relevanter Universitätsabschluss, ausreichende Programmierkenntnisse und ein Interesse an Krebsbiologie. Wir bieten ein tolles Arbeitsumfeld sowie Entwicklungsmöglichkeiten.

Leistungen

Intensive Mentoring

Zugang zu modernen Kernanlagen

Qualifikationen

• Erfahrung in der Berechnung/Analyse komplexer Datensätze.
• Interesse an Krebsbiologie und hohe Eigenverantwortung.

Aufgaben

• Standardisieren von Rechenabläufen für Krebsgenomik-Projekte.
• Beitragen zu großangelegten IT-Prozessen und Hochleistungsberechnungen.
• Entwickeln neuer Konzepte zur Analyse komplexer Datensätze.

Kenntnisse

Programmierung in C++, R oder Python

Komplexe Datenanalysen

Gute Kommunikationsfähigkeiten

Ausbildung

Universitätsabschluss in einem relevanten Bereich

Jobbeschreibung

Overview

Computer Scientist/ Computational Biologist (f/m/x) – Department of Translational Genomics - Beleggia Laboratory

TV-L: 38.5 h/week (100%)
Fixed-term for 2 years as part of a third-party funded project. Your salary will be based on TV-L.

Your tasks

• Standardize computational workflows and software development for cancer genomics projects.
• Contribute to large-scale IT processes and high-performance computation.
• Develop novel concepts for analysis of highly complex data sets to gain insight into cancer biology.
• Handle standard IT tasks at the Department and manage the computational infrastructure for the SFB1399 project (data security, data sharing).

Your profile

• University degree in a relevant field (physics, mathematics, computational biology, bioinformatics or biostatistics); preferably an advanced degree (Master, Ph.D.), but candidates with a Bachelor’s degree and equivalent experience are welcome.
• Profound experience in computational/mathematical analysis of complex data sets.
• Programming skills (preferably C++, R or Python).
• Genuine interest in cancer biology, good communication skills, and the ability to drive projects with a high degree of independence.

Please submit your application including a detailed CV, a list of publications, two references and a brief statement of research interests.

Our offer

We offer a great work environment, intensive mentoring and interactions with global leaders from academia and industry. The collaborative research environment in Cologne provides access to state-of-the-art core facilities, including genomics, proteomics and imaging.

Your future with us

We are one of the leading university hospitals in Germany and network research, teaching and health care at the highest level. We provide exciting development opportunities and a globally open work culture. We are committed to supporting employees in reconciling their job with life goals.

This is the University Hospital of Cologne: Everything but ordinary.

Your future in detail

Embedded in a dynamic, competitive research environment with national and international collaborations, the focus is on understanding fundamental aspects of cancer using high-throughput data and developing advanced computational models. We analyze genome, transcriptome and proteome data from state-of-the-art sequencing technologies, single-cell sequencing approaches and single-cell proteomics to understand the biological impact of genome alterations and molecular profiles in malignant cells and their evolution during tumor progression. The project leverages programs within the collaborative research center. The candidate will work closely with Prof. Martin Peifer, Prof. Dr. Roman Thomas, Prof. Dr. Julie George and the IT Center University of Cologne (ITCC).

Applications from female candidates are expressly welcome and will be given priority in case of equal suitability. People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification. The position is suitable for staffing with part-time employees.

Contact

Univ.-Prof. Dr. Julie George

Univ.-Prof. Dr. Martin Peifer

Universitätsklinikum Köln AöR
Geschäftsbereich Personal
Kerpener Str. 62
50937 Köln

Application deadline: 16.11.2025

Job-ID: n5zly7l6

We look forward to receiving your application and getting to know you!