PhD Student Bioinformatics - Data Analysis (m/f/d) - #2697415

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.

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).

Activities And Responsibilities

• 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
  
  

Qualification 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
  
  

Benefits

• 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