Data Scientist / Data Analyst / Bioinformatician

Data Scientist / Data Analyst / Bioinformatician (f/m/d)

Faculty of Medicine Tübingen, Translational Microbiome Research Laboratory, index number 7316

Full‑time: 100 %

Contract duration: 36 months

Start of work: as soon as possible

Application deadline:

TV‑L: i.d.R. E13 2

Tasks

• Analyze high-throughput microbiome sequencing data
• Conduct diversity and ecological analyses
• Develop and maintain bioinformatics pipelines
• Perform statistical modeling and apply machine learning frameworks
• Integrate multi-omics datasets

Profile

Required Qualifications

• Master or Ph.D. in Biostatistics, Data Science, Machine Learning or Bioinformatics
• Experience with genomics data including compositional microbiome data such as whole‑genome and 16S rRNA sequencing analysis and scRNA‑seq data analysis
• Proficiency in exploratory data analysis (EDA) and a solid understanding of machine learning algorithms
• Expertise in multiple programming languages, such as Python and R, with experience working in Linux‑based environments and HPCs

Preferred Skills

• Familiarity with explainable AI tools (e.g., LIME or SHAP) for interpreting machine learning models
• Experience with multi‑omics data integration
• Strong problem‑solving abilities and a proven track record of effective collaboration within interdisciplinary teams
• Proficiency in English (written and communication)

Benefits

• Innovative university hospital
• State‑of‑the‑art technology
• World‑class international research
• Excellent career prospects
• Cutting‑edge research at the highest level
• Support from PhD to professorship
• Structured onboarding
• In‑house academy
• Diverse training opportunities
• Targeted career development
• Cultural & generational diversity
• Support through language courses
• Integration programmes (nursing)
• Active promotion of equality
• Internal committees as a point of contact
• Network for conflict resolution

About us

The Faculty of Medicine is one of the four founding faculties of the Eberhard Karls University of Tübingen. With its non‑clinical facilities as well as its research and teaching area corresponding to the organisational units of the University Hospital, it is one of the largest medical training and research institutions in Baden-Württemberg.

About the Translational Microbiome Research laboratory

The Lab of Translational Microbiome Research, led by Dr. C. Stein‑Thöringer, is part of the Cluster of Excellence "Controlling Microbes to Fight Infections" (CMFI) at the University of Tübingen. Our lab investigates how gut microbes, pathogens, the immune system and environmental factors shape cancer development, therapy outcomes and susceptibility to infections. We are offering a research position in data science as part of a collaborative research project examining the role of the microbiome in cancer development and therapy. This project employs a multi‑omics approach, integrating microbiome data, metabolomics, immune phenotypes and clinical records to uncover the relationships between microbes and their host in the context of cancer or cancer therapies. The research will be conducted at the state‑of‑the‑art M3 Institute at the University of Tübingen.

Contact for questions

Mr. Prof. Christoph Stein‑Thöringer
‑61451

Online application to

Mr. Prof. Christoph Stein‑Thöringer
Index number: 7316
Including CV and cover letter

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 University of Tübingen strives to hire more female scientific staff, and therefore emphatically requests women to apply for this position.

1 Continued employment will be sought wherever 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: