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.

We invite applications for the Research Group Lipidomics:

Student Assistant/Master's Thesis (m/f/d)

Your tasks:

• Evaluate the performance characteristics of data analysis pipelines for mass spectrometric data set from patient plasma samples
• Quantitatively compare the tools across defined performance metrics
• Assess the results for well-defined patient cohorts
• Identify the data analysis workflow best suited for large cohort studies
• Use the optimized data analysis workflow to extract lipidomic signatures for risk stratification

Your profile:

• Bachelor’s degree in chemistry, biology, bioinformatics or related fields
• Experienced with mass spectrometric data analysis
• Experienced with bioinformatics and/or statistics
• Mass spectrometry and/or lipidomics expertise is beneficial

The position is initially limited to 6 months within the framework of the Wissenschaftszeit-vertragsgesetz, with a working time of 8 hours per week. It is remunerated as a mini-job.

ISAS supports the principle of equal opportunity for all employees and therefore particularly encourages women to apply. Applications from disabled applicants are welcome.

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 August 1, 2026. Please apply via our applicant portal. If you have any questions (reference number 407_2026), feel free to contact the Human Resources team (). Further information about the institute can be found at: .