Student assistant (f/m/x) Minijob
The
Leibniz Institute of Virology
(LIV) is an independent research institution for basic biomedical research. As a foundation under civil law and member of the Leibniz Association, the Institute occupies a leading position both nationally and internationally. The Junior Research Group Viral Systems Modeling, headed by Dr. Tanja Laske, develops novel computational methods for an improved, systems-level understanding of infectious disease biology. Our group combines methods of data mining, bioinformatics and virus dynamics modeling to systematically analyze factors that influence virus replication and to find starting points for new therapeutic approaches. An important research focus is the investigation of defective viral genomes (DVGs) and their influence on infection outcomes. For this, we develop AI-supported computer models to predict the impact of DVGs on the course of infections and virus spread, and evaluate their potential as antiviral agents. We leverage integrative modeling techniques to analyze sequencing data, multi-OMICs data and other quantitative data from infection experiments to identify potentially interesting DVG candidates. With this, we will not only improve the understanding of DVG biology but also facilitate the design of novel AI-supported antiviral therapies.
We are looking for a highly motivated, ambitious and team-oriented candidate to start as soon as possible for a
Student assistant (f/m/x) Minijob
Your tasks
* Apply and (stress)-test bioinformatics tools for OMICs data analysis and/or mathematical models for virus dynamics simulations
* Work independently on data analysis tasks, (web)-tool development as well as other coding challenges, literature research
* Integrate into the research team and jointly work toward the team’s scientific goals
* Support the team in administrative tasks and dissemination of research results, e.g. visualizations, social media, public outreach
Your profile
* You are currently enrolled in one of Hamburg’s bachelor’s or master’s degree courses in computer science, bioinformatics, biotechnology, biosystems engineering or a comparable discipline in the life sciences and would like to enrich your studies with regular research-oriented hands-on work, such as programming
* Willingness to engage with topics in computer-aided infectious disease research
* Familiarity with bioinformatics tools for OMICs data analysis, in particular virus genomics data, and/or structural biology
* Experience in visualizing workflows and scientific schemes (e.g. power point, biorender) as well as data analysis results
* Strong commitment, team spirit, very good communication and organizational skills, ability to work in an independent and flexible manner
* Very good English language skills (oral and written)
What we offer
* Exciting activity at a Leibniz Association institute
* Working as part of a highly motivated team in an international environment
* Further training opportunities, incl. subsidized English and German courses at the Institute
* Grant for unscheduled child care
* Health protection offers at the Institute (in cooperation with voiio GmbH)
* Flexible, family-friendly working hours
* HVV Deutschlandticket subsidy
* Canteen use subsidy
The position is initially limited for 1 year with a starting date as soon as possible.
The LIV is certified with the Total Equality distinction, and promotes work-life balance and professional equality between employees of all sex and genders. Severely disabled persons will be given preferential consideration if their suitability, qualifications, and professional performance are otherwise equal.
Your application should include a letter of motivation (max. 0.5 page), CV, short description of technical expertise, certificates (transcript of records, university degrees, etc.). We look forward to receiving your application in English language until the 30th April 2025. Until the position is filled, applications received at a later date may be considered.
Would you like to shape the future with us? Then we look forward to receiving your application!
Contact:
For further scientific questions please contact Dr. Tanja Laske, E-Mail: tanja.laske@leibniz-liv.de
Leibniz Institute of Virology (LIV) | Martinistraße 52 (N63) | 20251 Hamburg |
www.leibniz-liv.de