Staff Scientist Genomics - Spatial Transcriptomics; f​/m​/x

Helmholtz Zentrum München – Deutsches Forschungszentrum für Gesundheit und Umwelt

Country:
Germany

Final date to receive applications: 30 Jun 2026 – 15:14 (UTC)

Area of research: Scientific / postdoctoral posts

Full time – 39 hrs./week

About the position: 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.

Core Facility Genomics provides a wide range of cutting‑edge genomics and spatial biology services to a diverse research community across academia and industry. Working together with colleagues from other in‑house cores we support projects ranging from basic biology to translational research, leveraging state‑of‑the‑art technologies including 10x Genomics Visium and Xenium platforms.

We are looking for a highly motivated scientist (f/m/x) with expert skills in spatial transcriptomics and NGS applications to join the team of the Genomics Core facility. You will play a central role supporting users with ongoing and upcoming spatial transcriptomics projects, as well as implement, optimise and further expand new applications in this area. We are offering a unique multi‑disciplinary position bringing together genomics, histology, and imaging data analysis.

If you are thrilled by novel scientific challenges and would like to work in a highly collaborative, interdisciplinary and cutting‑edge team outside a traditional academic role, this could be a great opportunity for you.

• Support core customers in experimental design and troubleshooting
• Perform quality control of submitted samples (RNA, DNA, libraries, single cells)
• Perform customer experiments in Spatial Transcriptomics applications (Xenium and Visium) and NGS applications (library prep and sequencing)
• Set‑up and operate complex equipment (e.g., Xenium, pipetting robots, various Illumina sequencers)
• Establish and standardise methods for existing and upcoming spatial transcriptomics technologies
• Establish, maintain, expand cross‑disciplinary workflows and collaboration across various core facilities (especially CF‑PTA and CF‑BIOS) to maintain a comprehensive workflow for spatial transcriptomics
• In collaboration with colleagues contribute to training users for spatial transcriptomics
• Support customers with SOPs, reports, publications and presentations
• Support maintenance of the LIMS systems and electronic databases
• Support smooth operation of the core facility (ordering, storing, instrument QC, etc.)

• PhD‑degree in biology or a related field, or MSc/senior technician with at least 10 years hands‑on NGS experience; a Postdoc with a relevant project (spatial transcriptomics) is a bonus
• Experience with Spatial Transcriptomics workflows (especially Xenium and Visium) is a must
• Advanced knowledge and hands‑on skills in molecular biology and NGS applications (library prep, sequencing, basic data analysis)
• Proven skills in method development and workflow optimisation
• Experience in writing scientific reports and SOPs
• Experience in cell culture, tissue preparation techniques and microscopy is a plus
• Good management, communication and organisation skills
• Clear customer‑service mentality to support users of the core facility
• Able to work independently and as part of a larger team, attention to detail and rigor
• Proficient English language skills (both written and spoken);
  German language skills at least B2 level

If you fulfil 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 18 months (maternity leave cover).

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.