Bioinformatician (Spatial Image Analysis)

TieTalent; Heidelberg; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

A leading research institution is seeking a Bioinformatician (Spatial Image Analysis) to conduct bioinformatic analyses, develop analysis frameworks, and train users. The ideal candidate will possess a Master's/PhD in a relevant field, strong programming skills in R and Python, and have experience in complex image analysis, particularly in spatial transcriptomics and proteomics.

Leistungen

State-of-the-art equipment and international networking opportunities

30 days of vacation per year

Flexible working hours

Remuneration according to TV-L, including pension and capital-forming payments

Options for mobile and part-time work

Family-friendly environment

Sustainable commuting with subsidized Germany job ticket

Personal development opportunities

Holistic health management programs

Qualifikationen

• Strong computational skills and ability to independently solve complex problems.
• Excellent command of English (written and oral).
• Self-motivated with good communication skills in an interdisciplinary team.

Aufgaben

• Conduct bioinformatic analyses of spatial/imaging data.
• Develop transferable analysis frameworks and data sharing schemes.
• Support and train users in bioinformatics analyses.

Kenntnisse

Computational skills

Programming in R

Programming in Python

Image analysis

Collaboration

Ausbildung

Master's and PhD in systems/quantitative biology, physics, mathematics, or computer science

Jobbeschreibung

About

"Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors, and look for new cancer prevention strategies. We develop new methods for tumor diagnosis and cancer treatment. Every contribution counts – whether in research, administration, or infrastructure. This makes our work meaningful and exciting.

The German Cancer Research Center (DKFZ) is seeking a Bioinformatician (Spatial Image Analysis) for the Single-cell Open Lab starting from the next possible date.

Reference number: 2025-0154

The Single-cell Open Lab supports the analysis of spatial omics data within the Multispace initiative of the Health and Life Science Alliance Heidelberg-Mannheim (https://www.health-life-sciences.de/multispace/).

Our lab provides infrastructure for single-cell and spatial omics projects, collaborating closely with Heidelberg’s active research community and industry partners to advance multi-omics workflows and technology integration.

We seek a research scientist to:

• Conduct bioinformatic analyses of spatial/imaging data, including benchmarking new instruments and technologies.
• Develop transferable analysis frameworks and data sharing schemes.
• Support and train users in these analyses.
• Contribute to initiatives like iofast for FAIR spatial data.

The ideal candidate should have strong computational skills, be motivated to enable high-quality research, collaborate across disciplines, participate in hackathons, and develop metadata schemes for FAIR data.

Qualifications include:

• Master's and PhD in systems/quantitative biology, physics, mathematics, or computer science.
• Ability to independently solve complex scientific and technical problems.
• Programming skills in R and Python.
• Experience in complex image analysis, especially in spatial transcriptomics and proteomics.
• Knowledge of system administration is a plus.
• Interest in molecular oncology.
• Self-motivated with good communication skills in an interdisciplinary team.
• Excellent command of English (written and oral).

We offer:

• State-of-the-art equipment and international networking opportunities.
• 30 days of vacation per year.
• Flexible working hours.
• Remuneration according to TV-L, including pension and capital-forming payments.
• Options for mobile and part-time work.
• Family-friendly environment.
• Sustainable commuting with subsidized Germany job ticket.
• Personal development opportunities.
• Holistic health management programs.

Nice-to-have skills

• Benchmarking
• Advanced Python and R skills
• Excellent communication
• Physics and image analysis expertise
• Research and scientific experience

Location: Heidelberg, Baden-Württemberg, Germany

Work experience: Data Analyst

Languages: English