Clinical Data Scientist
Universitätsklinikum Tübingen —Tübingen
- Vollzeit
- Doktorat
- Master
- Machine Learning
7 Tage

Related jobs to explore

Based on your search for clinical data scientist

AI Data Scientist (m/f/d)
BayWa r.e. Solar Energy Systems GmbH —Tübingen
Expertise in feature engineering, data preparation and data quality assessment. Experience with data processing and pipelines.
Data Scientist-Jr
General Dynamics Information Technology —Stuttgart
May assist with identifying opportunities for leveraging company data to drive business solutions. Evaluate the effectiveness and accuracy of new data sources…
102.000 € – 138.000 € pro Jahr
14 Tage

Ich möchte aktuelle Job-E-Mails für Stellen als clinical data scientist in metzingen, bw erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

clinical data scientist jobs near metzingen, bw

Jobs als Data Scientist in Tübingen

Jobs als Data Scientist in Stuttgart

Jobs als Material Scientist, Semiconductor, Epitaxy, Postdoc in Berlin

Jobs als Data Scientist in Offenbach

Jobs als Data Scientist in Remote

Jobs als Data Scientist in Frankfurt (main) Niederrad

Jobs als Student Data Science in Berlin

Clinical Data Scientist

Universitätsklinikum Tübingen -
Tübingen

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 7 Tagen

Qualifikationen

Doktorat
Master
Machine Learning
Datenvisualisierung
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Clinical Data Scientist (f/m/d)

Institute of Medical Genetics and Applied Genomics, index number 7709

Full-time:
100 %

Limited:
2 years 1

Start of work:
as soon as possible

Application deadline:
11.08.2026

TV-L
i.d.R. E13 2

Tasks

Develop and implement innovative methods and analytical strategies for the clinical interpretation of (gen)omics data
Interact closely with data analysts, bioinformaticians and clinicians to perform advanced AI-driven analyses
Engage actively in interdisciplinary group meetings to identify needs and explore opportunities for applying AI techniques
Support scientific software engineering, including the development of application interfaces
Participate in research projects, write publications and deliver presentations
Support advanced domain-specific AI training for data analysts and clinicians of the institute

Profile

Minimum Qualifications

University degree (MSc) with very good grades in Data / Computer Science or related fields
Experience in applied data science and machine learning
Strong foundation in statistical analysis and data visualization, ideally relevant to genetics
Experience with at least one programming language, preferably Python
Fluency in German and English

Preferred Qualifications

PhD in the corresponding area and publications in relevant journals/venues
Familiarity with integrative omics analyses and agentic AI
Solid knowledge of software engineering
Experience in conducting, ideally managing, interdisciplinary projects and communication

Benefits

Work in the diverse environment of a university hospital, which focuses not only on patient care but also on medical research and teaching.

Job Security

Secure employment in the public sector
Long-term prospects & planning reliability

Career & Development

Structured onboarding
In-house academy
Diverse training opportunities
Targeted career development

Work-Life-Balance

Clearly defined and predictable working hours (38.5 hours/week, full-time)
Family-friendly working conditions
Long-term account & company seniority days (TV UK)

Health & Well-being

Occupational health service
Sports groups
Preventive health courses
Discounts on fitness offers

Attractive Compensation

Collective agreement & regular wage increases
Company pension scheme (VBL)
Annual special payments (TV UK, TV L)
Attractive public transport subsidy & employee discounts

About us

The University Hospital of Tübingen is a leading center of German university medicine. Every year, around 75,000 inpatients and around 380,000 outpatients are treated. With over 11,000 employees, it is the largest employer in the region. The quality of patient care is certified with the KTQ seal of approval.

About the research team

Our interdisciplinary diagnostics and research team at the Institute of Medical Genetics and Applied Genomics applies state-of-the-art genomics methods to research the molecular mechanisms of genetic diseases. As part of national and international networks, we are establishing new concepts for improved diagnostics and therapies for rare and oncological diseases. In addition to the latest technologies (e.g. long-read genome sequencing), we use integrative analyses of omics datasets for the comprehensive characterisation and improved clinical interpretation of genomic alterations. The close integration of clinic and research ensures the rapid translation of the latest scientific findings, technologies and methods into routine diagnostics. Our aim is to make these benefits available to all our patients and thus support the development of personalised therapies and preventive measures.

Contact for questions

Ms. Gabriele Hertkorn

07071 29-72288

Online application to

Ms. Gabriele Hertkorn
Index number: 7709
Including CV and cover letter

Application deadline: 11.08.2026

Apply now

WhatsApp application

Back to jobs

We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States), severely handicapped persons with equal qualifications are given preferential consideration. Interview expenses are not covered. Please note the applicable vaccination regulations. The employer actively promotes equal opportunities and particularly encourages applications from women.

1 Continued employment will be sought whereever possible.

2 The data provided does not constitute a basis for an employment contract at the University Hospital of Tübingen. It is intended to serve as a rough guide for all interested parties. Remuneration is governed by the applicable collective bargaining agreements in conjunction with the corresponding pay scales. Further information can be found here.

About the institute

Learn more

We as an employer

Erfahren Sie mehr

FAQ - Application