Multiple PhD Positions

The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.

In the departments Bioanalytic and Biospectroscopy, we invite applications for:

Four PhD Candidates (m/f/d)

PhD Position 1 “Preclinical Models” (65%, Bioimaging Group) Ref. Number: 395_2026

PhD Position 2 “Omics-based analysis of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026

PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026

PhD Position 4 “Data Science” (100%, Multidimensional OMICS Data Analysis Group) Ref. Number: 398_2026

These positions are part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus on the analysis and development of biomarker profiles for the personalized assessment of cardiovascular risks associated with cancer therapy.

PhD Position 1 “Preclinical Models” (65%, Bioimaging Group) Ref. Number: 395_2026

You will be responsible for:

• Analysis of murine tissue samples (heart and tumor tissue) to determine their immune cell infiltration profiles
• 3D imaging analyses using fluorescence microscopy techniques (e.g., confocal laser scanning microscopy, light-sheet fluorescence microscopy)
• MALDI MSI, laser microdissection MS, and LC-MS analyses to identify metabolite, lipid, and protein profiles in murine tissue and blood
• Evaluation, analysis, and visualization of data
• Documentation of laboratory work
• Collaboration with project partners and regular presentation of results

Your profile:

• M.Sc. or a degree in a natural science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology)
• Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology
• Practical knowledge of mass spectrometry and/or microscopy
• A willingness to engage in interdisciplinary scientific work, the ability to work in a team, an open-minded attitude, and a commitment to the work are required
• Strong communication skills, organisational talent and a solution-oriented approach
• Proficiency in MS Office
• Willingness to travel for work
• Excellent written and spoken English; German would be an advantage

PhD Position 2 “Omics-based analysis of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026

You will be responsible for:

• Conducting proteomic analyses of blood, plasma, and tissue samples from melanoma and other cancer patients
• Developing bioanalytical assays for protein-based biomarker screening
• Developing and validating combined biomarker panels for cardio-oncological risk assessment
• Evaluation, analysis, and visualization of data
• Documentation of laboratory work
• Collaboration with project partners and regular presentation of results

Your profile:

• M.Sc. or a degree in a natural science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology)
• Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology
• Practical knowledge of mass spectrometry and/or microscopy
• A willingness to engage in interdisciplinary scientific work, the ability to work in a team, an open-minded attitude, and a commitment to the work are required
• Strong communication skills, organisational talent and a solution-oriented approach
• Proficiency in MS Office
• Willingness to travel for work
• Excellent written and spoken English; German would be an advantage

PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026

You will be responsible for:

• Analysis of longitudinal blood, plasma, and tissue samples from melanoma and other cancer patients
• Development of targeted metabolomics, lipidomics, and proteomics assays
• Validation of biomarkers using MALDI-MSI and LC-MS analyses in human tissue samples
• Evaluation, analysis, and visualization of data
• Documentation of laboratory work
• Collaboration with project partners and regular presentation of results

Your profile:

• M.Sc. or a degree in a natural science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology)
• Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology
• Practical knowledge of mass spectrometry and/or microscopy
• A willingness to engage in interdisciplinary scientific work, the ability to work in a team, an open-minded attitude, and a commitment to the work are required
• Strong communication skills, organisational talent and a solution-oriented approach
• Proficiency in MS Office
• Willingness to travel for work
• Excellent written and spoken English; German would be an advantage

PhD Position 4 “Data Science” (100%, Multidimensional OMICS Data Analysis Group) Ref. Number: 398_2026

You will be responsible for:

• Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data
• Development of AI-based models for personalized risk assessment
• Validation and application of model performance using established biomarkers and patient cohorts
• Evaluation, analysis, and visualization of data
• Documentation of laboratory work
• Collaboration with project partners and regular presentation of results

Your profile:

• M.Sc. or Diploma in bioinformatics or a comparable qualification
• Extensive programming experience
• Practical experience in machine learning and the application of large language models
• Knowledge of OMICS and image data analysis
• A willingness to engage in interdisciplinary scientific work, the ability to work in a team, an open-minded attitude, and a commitment to the work are required
• Strong communication skills, organisational talent and a solution-oriented approach
• Proficiency in MS Office
• Willingness to travel for work
• Excellent written and spoken English; German would be an advantage

We offer

• A clear research topic as well as multifold training and support for PhD students in framework of ISAS and the Leibniz association
• Training and scientific development opportunities in an international environment and an excellent working atmosphere in a very dynamic and professional team
• Extensive state-of-the-art equipment and infrastructure in various analytical methods
• The opportunity to present your data on international conferences and participate in workshops
• A wide range of opportunities for further training and qualifications
• Flexible working times, mobile working and attractive social benefits
• Family-friendly facilities and support from a family service

Non-residents who apply for this job will receive help from the institute to find accommodation and to handle authorities. Applications from disabled applicants are welcome. ISAS supports the principle of equal opportunity for all employees and therefore particularly encourages women to apply.

The full-time and part-time positions are offered for four years. The positions are available immediately. The salary will be according to the German TV-L. The time limitation of the contract is based on the Wissenschaftszeitvertragsgesetz (WissZeitVG).

ISAS collects and processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: .

The closing date for applications is May 16, 2026 . Please apply for the position of interest via our applicant portal on our website . If you have any questions, feel free to contact the Human Resources team ( [email protected] ). Be sure to mention the reference number in your correspondence. Further information about the institute can be found at: .