About this position
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 department Bioanalytics for the Multidimensional OMICS Data Analysis research group, we invite applications for a:
PhD Candidate (m/f/d)
This position is 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.
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 position is available immediately. It is fixed-termed and offered until September 30, 2030. The salary will be according to the German TV-L and falls within the pay group 13. 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: https://www.isas.de/en/datenschutz .
The closing date for applications is October 17, 2026 . Please apply via our applicant portal . If you have any questions (reference number 422_2026 ), feel free to contact the Human Resources team ( bewerbungen@isas.de ). Further information about the institute can be found at: https://www.isas.de/en .
Funding
Monthly 4,768.12 EUR
How to apply
- Read the full advert on the source site — it carries the authoritative terms.
- Email the contact below with your CV and a short, specific message. See Emailing Professors.
- Prepare your SOP, CV, transcripts and referees before the deadline.
- Apply through the university's own portal. Never pay a fee to a third party.