
Staff Scientist Genomics - Spatial Transcriptomics (f/m/x)
EURAXESS Czech Republic, New Bremen, OH, United States
Helmholtz Zentrum München – Deutsches Forschungszentrum für Gesundheit und Umwelt
Country: Germany
Application Deadline: 30 Jun 2026 – 15:14 (UTC)
Offer Description
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.
Responsibilities
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.)
Your Profile
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.
#J-18808-Ljbffr
Country: Germany
Application Deadline: 30 Jun 2026 – 15:14 (UTC)
Offer Description
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.
Responsibilities
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.)
Your Profile
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.
#J-18808-Ljbffr