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The University of Vienna (15 faculties, 4 centres, about 174 fields of study, approx. 9.500 members of staff, more than 94.000 students) seeks to fill the position from 01.01.2018 of a University Assistant (post doc) at the Department of Pharmaceutical Chemistry. The candidate should have an excellent track record in the field of data science and ideally also systems modelling. The candidate will be embedded in a very ambitious international research team. We expect active interaction with the partners of the IMI projects TransQST and eTRANSAFE, as well as the H2020 project “EU-ToxRisk”

Duration of employment: 1 year (with the possibility of extension up to 4 years depending on performance)

Extent of Employment: 40 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) with relevant work experience determining the assignment to a particular salary grade.

Areas of work:

Your areas of responsibility include the scientific support of our projects related to toxicity prediction, with special focus on data science and systems modeling. We also expect design and execution of own research projects in the field of pharmacoinformatics, as well as the publication of results in international peer-reviewed journals. Furthermore, we expect your collaboration in already ongoing projects in the team and your participation in teaching.


- PhD in the field of Sciences

- Excellent knowledge in the field of data science

- Programming knowledge in at least one language (preferentially Python) and/or knowledge of workflow management systems (KNIME/Galaxy/Taverna)

- Documented publication activity in peer-reviewed journals

- Excellent command of English language

- High ability to cope with pressure

- Good team-working ability

- Ability to publish and present in English

- data science, systems modelling

Applications including a letter of motivation (German or English) should be sumbitted via the Job Center to the University of Vienna ( no later than 07.01.2018, mentioning reference number 8145.

The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity ( The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.