Scientific project assistant predoctoral

Your personal sphere of influence: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.For more information, visit: future tasks: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.
This is part of your personality:You have a completed Master's degree (or equivalent) with a focus in:Pharmaceutical SciencesDrug DevelopmentChemistryBiochemistryChemical BiologyExperience in synthetic organic / medicinal chemistry and a passion for drug discoveryA deep interest and an enthusiasm for scientific workA critical and analytical mindAbility to work responsibly, reliably, diligently and independently perform experimentsAbility to work in a multidisciplinary team within the group and with external collaboratorsA passion for training colleagues and students in the laboratoryExperience in the most commonly employed techniques in the laboratory (see “Your future tasks” section))Programming skills in python and R with experience in statistical data analysis are an advantage.
What we offer: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-experienceEqual opportunities for all: We welcome every additional/new personality to the team!
It is that easy to apply:With your scientific curriculum vitae Master Degree  /  Diploma certificateOther relevant certificatesWith a motivation letter summarizing your research interestsReference list Via our  job portal/ Apply now -  buttonIf you have any questions, please contact:David Benjamin Konrad   look forward to new personalities in our team! 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 of Vienna. Space for personalities. Since 1365.Data protection​Application deadline: 08/02/2026  Apply now