Bioinformatician (m/w/d)

17.02.2025, Wissenschaftliches Personal

The Molecular Pathology Diagnostic Laboratory at the Institute of Pathology, Technical University of Munich (TUM), is a leading diagnostic NGS (Next Generation Sequencing) laboratory in Germany. As a key partner of the Comprehensive Cancer Center Munich TUM (CCCMTUM), the laboratory plays a pivotal role in supporting the Molecular Tumor Board at Klinikum rechts der Isar, in close collaboration with clinical disciplines.

The Molecular Pathology Diagnostic Laboratory at the Institute of Pathology, Technical University of Munich (TUM), is a leading diagnostic NGS (Next Generation Sequencing) laboratory in Germany. As a key partner of the Comprehensive Cancer Center Munich TUM (CCCMTUM), the laboratory plays a pivotal role in supporting the Molecular Tumor Board at Klinikum rechts der Isar, in close collaboration with clinical disciplines.

Molecular pathology has rapidly become an integral subfield of diagnostic pathology, revolutionizing the way we approach disease diagnosis and treatment decisions. By enabling precise, data-driven insights, molecular pathology serves as the foundation of personalized medicine. In this approach, patients with specific tumor diseases or molecular defects are offered individualized therapies tailored to their molecular profiles. This process is supported by interdisciplinary decision-making, often through a molecular tumor board.

At the heart of these analyses is massive parallel sequencing (NGS), a powerful technology that enables comprehensive nucleic acid analysis. The growing significance of bioinformatics, particularly in interpreting genomic and transcriptomic data, plays a critical role in identifying potential therapeutic options, especially as the volume and complexity of data sets increase.

Our laboratory is expanding its bioinformatics capabilities and is seeking talented scientists to join our team. The position involves supporting day-to-day laboratory operations while collaborating with various research facilities at TUM, fostering an environment of innovation and scientific discovery.

We’re seeking a motivated and dedicated individual who thrives in a stable, collaborative environment where the focus is on applied science and practical impact, rather than the traditional career trajectory focussed on obtaining a leading role quickly. In this role, you will have the opportunity to continuously develop your expertise and contribute meaningfully to the team and enjoy long-term consistency in a position that allows you to focus on what you do best—working with cutting-edge technologies and delivering real-world results.
Unlike many research roles, this position does not require a PhD, and your time will be spent actively contributing to projects, rather than writing grants or papers (although, of course, the writing of research papers is not discouraged!). If you’re passionate about hands-on scientific work and prefer to focus on collaborative problem-solving in a steady, fulfilling role, this is the perfect opportunity for you to make a lasting impact.

TUM is a world-renowned institution in the field of bioinformatics research and was recently ranked the top Technical University in the European Union. Munich itself is celebrated for its high quality of life and was ranked the fourth-best student city globally.

Desired Qualifications
We are looking for a talented and motivated bioinformatician with a passion for cutting-edge research and a drive to make a real-world impact. If you have a Master’s Degree in Bioinformatics, Computational Biology, Machine Learning, or a related field, and a strong track record in the following areas, we want to hear from you:
- Hands-on experience with omics data (e.g., DNAseq, RNAseq, metabolomics, spatial transcriptomics) is essential.
- Multi-omics integration expertise and/or somatic variant calling experience is a big plus
- Proficiency in programming using scripting languages such as Python/Perl and/or statistical software like R.
- Comfort working in a Linux command-line environment is a must.
- A natural ability to learn new tools and technologies quickly and independently.
- ability to work in a collaborative environment and build on existing research,
- strong communication skills in English or German (written and spoken) are required.
We welcome fresh graduates with relevant hands-on experience (e.g., as a working student or during a PhD thesis).

What You’ll Be Working On
As part of an interdisciplinary team at the forefront of bioinformatics, you will play an essential role in both clinical applications and innovative research. Your tasks will include:
- Developing and applying cutting-edge methods to process, analyze, and interpret multi-omics data.
- Conducting impactful research across various multi-omics disciplines, building on the team's existing work and advancing the field.
- Collaborating with other research departments to provide expert data analysis and drive discovery.
- Maintaining and enhancing bioinformatics pipelines to analyze and visualize complex multi-omics data sets.
- Investigating cancer biology, focusing on identifying diagnostic indicators and developing targeted therapies.
- Supporting diagnostic analysis of WGS/WES/targeted data to inform clinical decisions.

What We Offer:
- Flexible work arrangements: Choose between a full-time or part-time (at least 75%) contract, with a competitive salary based on your skills and experience (TV-L E13) and a solid perspective of rising income in times of high global inflation
- Work-life balance: Enjoy the option of partial home office and flexible working hours to suit your lifestyle and personal commitments.
- Collaborative environment: Be part of a dynamic and supportive team of highly skilled professionals, where your expertise will be valued and your ideas encouraged.
- Inclusive workplace: The position is suitable for people with sever disabilities. Given equivalent
qualifications (same suitability, ability and professional performance), applications by persons with disabilities will be preferentially considered.


How to apply:
Interested applicants should send their CV and a cover letter with the contact of at least one referee (related to the field of the job) to quirin.heiss@tum.de or mihaela.thiele@tum.de with CC to nicole.pfarr@tum.de.
Deadline: 15.03.2025

Kontakt: renate.krummeck@tum.de