At the Max Planck Institute for Multidisciplinary Sciences , we bridge the gap between basic research and translational, preclinical approaches. Here, researchers from the fields of biology, chemistry, physics, and medicine collaborate across disciplines, supported by high-performance service facilities and a modern research infrastructure. As the largest institute of the Max Planck Society , with around 1,000 employees from more than 66 nations, we offer an inspiring, international working environment with exceptional scientific breadth.

The Facility for Data Sciences and Biostatistics (Dr. Juliane Liepe) invites applications for a Data Scientist / Bioinformatician (f/m/d) to support cutting-edge interdisciplinary research across the institute.

This on-site position involves close collaboration with scientists from diverse research areas, providing advanced data analysis, contributing to methodological development, and supporting training activities in data science and biostatistics.

Key tasks

• Perform and support transcriptomics and proteomics data analysis for diverse research projects.
• Develop and maintain reproducible computational pipelines and data analysis workflows.
• Program and implement statistical methods using R and Python.
• Design and deliver online teaching materials and training workshops for scientists.
• Supervise and train PhD students and postdoctoral researchers in data science and biostatistics.
• Provide expert consultation to research groups across the institute.
• Contribute to best practices in data management, reproducibility, and open science.

Requirements

• PhD in bioinformatics, computational biology, biostatistics, data science, systems biology, or a related quantitative field.
• Demonstrated research track record in Transcriptomics and Proteomics data analysis.
• Experience with multi-omics data integration, machine learning approaches for biological data, statistical modelling and high-dimensional biological datasets.
• Experience with computational pipeline development.
• Strong programming skills in R and Python.
• Proven ability to work independently and collaboratively in interdisciplinary environments.
• Excellent communication skills in English.
• Experience with reproducible research practices (e.g., version control, workflow management, documentation).

• Ability to design and deliver training and educational content.
• Experience supervising or mentoring students or early-career researchers.
• Strong problem-solving skills and scientific rigor.
• Ability to translate complex statistical concepts for non-specialists.
• Project management and organizational skills.

Desired skills

• Familiarity with high-performance computing environments or cloud computing.
• Experience with workflow tools (e.g., Snakemake, Docker, Singularity).
• Experience in interactive data visualisation and dashboard development.
• Experience developing online courses or e-learning platforms.
• Knowledge of research data management standards (FAIR principles).
• Experience working in core facilities or service-oriented research environments.

What we offer

• A stimulating and collaborative international research environment.
• Opportunities to work with leading scientists across disciplines.
• Access to state-of-the-art computational infrastructure.
• Opportunities to develop leadership, teaching, and methodological expertise.
• Flexible working hours under the flexitime scheme and the option of mobile working.
• Professional development opportunities, skills training, and the Max Planck Society’s online training academy.
• Support for balancing work and family life, including on-campus childcare places.
• Corporate health management, fitness and sports programs.
• Sustainability initiatives and a nature-oriented campus environment, including the BioDiversum biotope project.

Position details

The position is initially limited to two years, although permanent employment thereafter is not ruled out. Remuneration is based on the TVöD Bund (German federal civil service pay scale), depending on qualifications and professional experience. In addition, public sector social benefits apply.

We are committed to being a cosmopolitan institute that offers a diverse and inclusive working environment with equal opportunities. We also aim to increase the number of employees with disabilities. We welcome applications from all backgrounds.

Application

Please submit your application with a cover letter (explaining background and motivation), a CV (with a publication list), and qualification transcripts (translated in English or German, if applicable) by 8 ^th May 2026, preferably via e-mail and as a single PDF file to:

ausschreibung14-26@mpinat.mpg.de

Max Planck Institute for Multidisciplinary Sciences
Facility for Data Sciences and Biostatistics
Frau Dr. Juliane Liepe