Research Scientist (f/m/x) in Spatial Multi-Omics Analysis (Wissenschaftliche/r Mitarbeiter/in)

Research Scientist (f/m/x) in Spatial Multi-Omics Analysis

103012

Full time, close to full time
27,3 - 39 hrs./week

Neuherberg near Munich

Partial Home Office possible

At Helmholtz Munich, we develop groundbreaking solutions for a healthier
society in a rapidly changing world. We believe that diverse perspectives drive
innovation. Through strong partnerships, we accelerate the transfer of new
ideas from the lab to real-life applications, improving lives.

Spatial multi-omics technologies are currently pushing the boundaries of
single-cell profiling techniques. By measuring the position of every cell
alongside multiple views of cellular activity, these technologies promise to
deliver crucial insights to understand tissue function and regulation,
especially in diseases with distinct spatial patterning such as lung cancer.

The Core Facility Bioinformatics and Statistics (CF-BIOS)at Helmholtz Munich
is part of the SPACETIME project, an EU consortium studying how spatial
cellular organization changes with disease severity in non-small cell lung
carcinoma.

CF-BIOS provides comprehensive bioinformatics and statistical support for
diverse research applications. We work closely with data-generating facilities
and on-campus computational groups to deliver integrated, high-quality
workflows.Our servicesinclude the analysis of a broad range of omics datasets,
including single-cell, spatial and multi-omics applications, as well as
supporting large cohort studies.

The research scientist position (f/m/x)is embedded within CF-BIOS and you
will work closely with the SPACETIME consortium members and the data analyst
team at Helmholtz Munich.

The focus of the rolewill be the analysis of spatial transcriptomics and
multi-omics data generated within SPACETIME. Responsibilities include data
management, metadata collection and validation, generation of reproducible
analysis playbooks, developing and delivering training and documentation for
spatial analyses, development of applications and infrastructure to enable and
support meta data collection and data accessibility and exploration and
visualization across the consortium.

If you like to be part of a dynamic team and work at the cutting edge of
science, this full-time position (39 hrs./week, or if part-time minimum 70%)
may be for you.

Your tasks

- Ensuring reproducible analysis workflows for spatial multi-omics data in
close collaboration with a team of analysts
- Data management, meta data annotation and validation
- Design, implementation and evaluation of AI-driven tools and applications
to facilitate data dissemination and access
- Supporting data processing and analysis, reusable workflow development,
documentation, and user training

Your profile

- Master or PhD in informatics, bioinformatics, engineering, or related
fields with corresponding work experience
- Strong programming skills (R, Python, Bash), versioning (Git)
- Demonstrable experience analyzing data from various next-generation
sequencing technologies, especially single cell sequencing and spatial- and
multi-omics technologies
- Experience with data management, metadata annotation, and with the use of
high-performance computing environments
- Team-oriented, proactive, service mindset with strong communication skills,
as well as english language proficiency

Desirable experience with (considered as a plus)

- Linux server and storage administration
- Developing and deploying multi-user software applications using modern
programming frameworks
- Performing complex spatial biology and multi-omics analyses
- Delivering training courses and developing educational materials

What we offer

- Opportunity to work within a large EU-funded international consortium
- Access to cutting-edge spatial transcriptomics and multi-omics datasets
- Collaboration with leading researchers in lung cancer and spatial biology
- Join an interdisciplinary, dynamic team with short decision-making paths
and a collaborative working culture
- Possibility for remote work (home office) in accordance with institutional
policies

If you fulfill all the requirements, you may be eligible for a salary grade
of up to E 13. Social benefits are based on the Collective Wage Agreement for
Public-Sector Employees (TVöD). This position is for a fixed term of 2 years.

Managing Director Mike Frieser:

„We believe that diversity is the key to groundbreaking research and
innovative solutions. Our flexible working models and remote options create a
supportive environment for balancing work and family life. For us, contributing
to a healthier society in such an inspiring workplace is truly meaningful.“

Get to know us

Benefits

- Scientific Resources State-of-the-art infrastructure and Core Facilities
- International Staff Service Support with the relocation and integration
process in Germany
- Career Development Postdoc program, scientific training & career center
with tailored offers
- Recreation 30 days annual leave, flexi days, plus public holidays
- Work-Life-Balance Flexible working hours and flexi-time models
- Family Support On-site kindergarten, holiday care, care for the elderly

Interested in applying?

If you have any questions, feel free to contact Thomas Walzthöni,
+4989318749569, who will be happy to help.

Our recruiting is decentralized - your application will be reviewed directly
by the specialist department in which you could work in the future.

More information about our application process

Please send your application only via our online application tool and with the
following documents:

- CV
- Cover letter
- Contact details for at least two referees

15.09.2026

If you have obtained a university degree abroad, we will require further
documents from you regarding the comparability of your degree by the time you
start work at the latest.Please request the Statement of Comparability for
Foreign Higher Education Qualifications as early as possible.

We are committed to promoting a culture of diversity and welcome applications
from talented people regardless of gender, cultural background, nationality,
ethnicity, sexual identity, physical abilities, religion or age. Qualified
applicants with physical disabilities will be given preference.

Learn more about diversity at Helmholtz Munich

Our commitment

Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Core Facility - Bioinformatics and Statistics
Ingolstädter Landstraße 1
85764 Neuherberg