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The University of Vienna invites applications for a Scientific project assistant predoctoral in the Department of Pharmaceutical Sciences.
The role focuses on developing new treatments against drug resistant and metastatic lung cancers, combining medicinal chemistry, chemical biology, and proteomics, and advancing phenotypic plasticity studies.
The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a Scientific project assistant predoctoral.
Startdate: 01.10.2026
Working hours: 30
Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team!
We are a young and enthusiastic team at the Department of Pharmaceutical Sciences that is focused on developing new treatments against drug resistant and metastatic states of lung cancers by working at the interface of medicinal chemistry, chemical methodology development, cancer chemical biology and (chemo)proteomics. The project is strongly connected to the key goal of the group to study phenotypic plasticity with regard to cancer progression, hydrogen peroxide signaling and ferroptosis.
The most commonly used techniques for the project are chemical synthesis as well as the analysis of the produced compounds and their reactivity. To perform chemical syntheses, we expect experience with standard inert‑atmosphere techniques such as Schlenk line and glovebox set‑ups. For compound analysis, NMR, HRMS, HPLC, LC‑MS and UV‑vis are frequently used techniques. The reactivity of chemical probes will be determined through reaction kinetics measurements. We encourage students to apply who have experience with most of these methods and are excited to expand their skillset with the approaches that they are not yet familiar with. Programming skills in python and R with experience in statistical data analysis, especially with large omics datasets, are a strong bonus.
Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.
Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.
Good public transport connections: Your workplace is easily accessible by public transport.
Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.
Fair salary: EUR 2.832,08 gross (for a 30-hour-contract/14 salaries per year), the salary increases after 3 years of predoc-experience
Equal opportunities for all: We welcome every additional/new personality to the team!
David Benjamin Konrad
david.benjamin.konrad@univie.ac.at
We look forward to new personalities in our team!
University of Vienna. Space for personalities. Since 1365.
Data protection
Application deadline: 08/02/2026
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.