PhD Candidate (f/m/x) in Computational Imaging Mass Spectrometry

Helmholtz Zentrum München; Germany (OH); On-site; USD 29,585 - 34,137; Full time

Benefits offered by this job

Graduate School Helmholtz Munich

Career Center for PhD candidates

State-of-the-art infrastructure & Core

Mental health initiatives

Relocation support

Job summary

Helmholtz Munich is seeking a PhD Candidate in Computational Imaging Mass Spectrometry within Analytical Pathology. The role combines imaging mass spectrometry, digital pathology, and computational data analysis to investigate spatial metabolomics and tissue morphology.

You will develop independent scientific questions and validate computational methods, with a path toward multiple scientific publications. The position emphasizes integration of spatial data, statistical approaches, and machine

Qualifications

• Master’s degree or equivalent in a relevant field.
• Ability to think scientifically and develop hypotheses.
• Strong programming, statistics, ML, and image analysis knowledge.
• Ability to assess algorithms for scientific validity and biological plausibility.
• Willingness to engage with histology and tissue morphology.
• Excellent written and spoken English.

Responsibilities

• Develop independent scientific questions at the interface of imaging mass spectrometry, computational biology, and digital pathology.
• Develop and validate computational methods for integrated analysis of molecular imaging data and tissue morphology.
• Characterize spatial metabolic and chemical patterns within tissue compartments.
• Critically evaluate and advance statistical, image analysis, and machine learning approaches.
• Develop interpretable models that reveal biologically testable relationships.
• Independently prepare publications as part of a cumulative PhD thesis.

Skills

Scientific thinking

Independent research

Programming skills

Statistics / ML / image analysis

Model evaluation

English proficiency

Education

Master’s degree in bioinformatics or computational biology

Data science background

Physics/ Mathematics background

Biomedical engineering background

Job description

PhD Candidate (f/m/x) in Computational Imaging Mass Spectrometry

Full time
39 hrs./week

Neuherberg near Munich

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.

Within Analytical Pathology (AAP) at Helmholtz Munich, we combine imaging mass spectrometry with digital pathology and computational data analysis. The PhD project "Computational Imaging Mass Spectrometry: Spatial Metabolomics, Spatial Exposomics, and Tissue Morphology Analytical Pathology" aims to integrate spatial metabolomics and spatial exposomics data with tissue morphology in order to systematically characterize molecular heterogeneity, functional tissue compartments, and chemical exposome landscapes.

The development of computational methods is not intended as an isolated technical objective, but as a means of addressing independent biological and methodological research questions.

Your tasks

• Develop independent scientific questions at the interface of imaging mass spectrometry, computational biology, and digital pathology
• Develop and validate computational methods for the integrated analysis of molecular imaging data and tissue morphology
• Characterize spatial metabolic and chemical patterns within biologically defined tissue compartments
• Critically evaluate and advance statistical, image analysis, and machine learning approaches
• Develop interpretable models that reveal biologically testable relationships and generate new scientific hypotheses
• Independently prepare scientific publications as part of a cumulative PhD thesis

Your profile

• An excellent Master’s degree or equivalent qualification in bioinformatics, computational biology, data science, computer science, biostatistics, mathematics, physics, biomedical engineering, or a related field
• Demonstrated ability to think scientifically, develop hypotheses, and conduct independent research
• Very good programming skills and sound knowledge of statistics, machine learning, image analysis, or spatial data analysis
• The ability to assess algorithms and models not only from a technical perspective, but also in terms of their scientific validity and biological plausibility
• A strong willingness to engage with histology, tissue morphology, metabolic processes, and the experimental origin of the data
• Analytical depth, scientific creativity, and excellent written and spoken English

This position provides the opportunity for you to build specialist knowledge whilst developing key professional experience, both of which will help you to make strides in your scientific career.

Remuneration and social security benefits are based on the German Collective Wage Agreement for Public-Sector Employees at Federal Level (EG 13 50% TV EntgO Bund). In addition, there is also the possibility of receiving an allowance if the applicable conditions are met. The position has an (initial) fixed term of three years but may be extended under certain circumstances.

Benefits

• Scientific Training: Helmholtz Munich Graduate School
• Career counseling: Career Center for PhD candidates
• Scientific Resources: State-of-the-art infrastruture and Core Facilities
• Health Promotion: Sports, company doctor, mental health initiatives
• International Staff Service: Support with the relocation and integration process in Germany

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

Helmholtz Munich

Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)

Research Unit Analytical Pathology

Ingolstädter Landstraße 1

85764 Neuherberg