Mitarbeiter*in für die Erschließung des Gordon Pask-Nachlasses sowie Betreuung des Archivs (w/m/d)

Universität Wien; Wien; Hybrid; EUR 40 000 - 60 000; Vollzeit

Zusammenfassung

A prominent university in Vienna is seeking a University Assistant (postdoctoral) to strengthen research in chemoinformatics-supported medicinal chemistry. The role involves independent research projects, publishing in peer-reviewed journals, and teaching courses. Candidates must have a PhD in chemistry, pharmacy, or related fields, and expertise in drug design. The position offers a flexible working atmosphere and competitive salary.

Leistungen

Flexible working hours

Internal further training & coaching

Good public transport connections

Qualifikationen

• Expertise in chemoinformatics and computer‑assisted drug design.
• Publications in peer‑reviewed journals.
• Preparation of a publication‑ready habilitation.

Aufgaben

• Plan and conduct own research projects in computer‑assisted drug design.
• Publish research findings in English‑language journals.
• Independently hold courses in accordance with the collective regulations.

Kenntnisse

Computer‑aided drug design

Medicinal chemistry

IT/scripting skills

Excellent English (C1)

Team player

Ausbildung

Completed doctoral/PhD studies in chemistry, pharmacy or related fields

Jobbeschreibung

University Assistant postdoctoral

Faculty: 50 Faculty of Life Sciences

Job vacancy starting: 12/01/2025

Working hours: 20,00

Classification CBA: §48 VwGr. B1 lit. b (postdoc)

Job ID: 4943

Limited contract until: 08/31/2026

Application deadline: 11/29/2025

Overview

The Department of Pharmaceutical Sciences aims to strengthen its research in chemoinformatics‑supported medicinal chemistry for the design and synthesis of potential drug candidates. This temporary replacement position is for a Ph.D. scientist with expertise in chemoinformatics, medicinal chemistry, and computer‑assisted drug design.

The role offers a creative working atmosphere, flexible working hours, and an adequate starting salary.

Responsibilities

• Plan and conduct own research projects in the field of computer‑assisted drug design.
• Publish research findings in English‑language journals.
• Support ongoing research projects in the department with your expertise.
• Independently hold courses in accordance with the collective regulations.

Qualifications

• Completed doctoral/PhD studies in chemistry, pharmacy or related fields.
• Excellent knowledge in computer‑aided drug design and medicinal chemistry.
• Publications in peer‑reviewed journals.
• IT/scripting skills (e.g. programming).
• Preparation of a publication‑ready habilitation.
• Knowledge in Computational Medicinal Chemistry, Chemoinformatics, and Molecular Modeling.
• Excellent knowledge of English (C1) and German.
• Team player with high social/communication skills.
• High resilience and ability to deliver presentations and publications in English.

Benefits and Salary

• Work‑life balance: flexible working hours, remote/hybrid or part‑time work upon agreement.
• Inspiring atmosphere: international academic team in a healthy and fair environment.
• Good public transport connections to the workplace.
• Internal further training & coaching: free access to over 600 courses.
• Fixed‑term contract: basic salary EUR 4,932.90 (full‑time basis; 14 times a year), with potential increase for professional experience.
• Equal opportunities for all: we welcome every new personality to the team.

Application Process

• Scientific curriculum vitae / letter of intent.
• List of publications.
• Summary of research interests (max. 1 page).
• Doctoral degree.
• Contact details of reference persons.
• Via our job portal / Apply now button.
• In your application, please refer to myScience.at and reference JobID47844.

Contact

Thierry Langer
[e-mail]

Equal Opportunity Statement

The University of Vienna has an anti‑discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We encourage qualified women to apply and will give preference to female candidates given equal qualifications.