Robert Koch Institut - FG37 “Nosocomial infections, surveillance of antibiotic resistance and consumption”
The RKI offers a stimulating working environment with varied activities in a supportive team and the opportunity to work on a global health project with Namibia funded by the Ministry of Health (BMG). Master’s theses are regularly supervised by the department’s academic staff. There are also various training opportunities.
Student assistant (R programming/statistics)
40 hours/month at the earliest possible date – Robert Koch Institute – Department of “Nosocomial infections, surveillance of antibiotic resistance and consumption”
Working field:
Our department supports the National Reference Laboratory in Windhoek, Namibia, in the statistical evaluation of data on antimicrobial resistance (AMR). Our contact person there was trained at the RKI for 6 weeks in the R programming language and will continue the data analysis in Windhoek. In order to support the analyzes here, we are looking for a student assistant with programming experience in R and good knowledge of statistics.
Participation in the planned analyzes includes in particular:
- Development of R scripts and Rmarkdown reports to support the partners in Windhoek with data analysis
- Communication and support when using R (e.g. troubleshooting) – online
Requirements:
- Currently studying full-time at a German university
- Advanced R knowledge
- Ideally already experience with data wrangling of larger data sets
- Good English knowledge
Advantageous
- Interest in public health and/or microbiology
- Basic methodological knowledge in quantitative empirical research
What we offer:
Flexible working conditions (home office)
Participation in an international project in the area of global health
Begin of employment as soon as possible or after semester break (upon agreement)
Possibility to complete a Master's thesis
How to apply:
Please send your CV and an example of one of your R/Rmarkdown scripts to lundvalll@rki.de (Dr. Linn Lundvall) by 20 July 2024 at the latest.
Facts
ID: 184911
- Num. of employees:
- 1500
- Site:
-
- Seestr. 10, 13353 Berlin, Berlin (Berlin, Germany)
- Type:
- Student assistant
- Working student
- Duration:
- Upon agreement - min. 6 months
- Part-/Full-time:
- 40 hours/month
- Starting date (earliest):
- At the earliest possible
- Starting date (latest):
- 30/07/24
- Remuneration:
- Remuneration based on student salary (12,96 €/hour)
- Scope:
- Medicine and Health
- Natural Sciences
- Public Health
- Statistics
- Field of studies:
- Computer Science
- Engineering
- Mathematics
- Natural Sciences
- Statistics
- Level of education:
- Completed Bachelor
- Computer skills:
- Advanced R programming
- Experience with data wrangling of larger data sets
- Statistics
- Working language and expected level:
-
- English
- German
- Additional language skills:
-
- English (Fluent in speech and writing)
- German (Beginner)
Actions
Make an Application
- Closing date:
- 20/07/24
- Subject:
- Student assistant (R programming/statistics)
- Contact person:
- Dr. Linn Lundvall (lundvalll@rki.de)
- Contact phone:
- 030 18754 3917
- By email:
- lundvalll@rki.de
- Application papers:
- CV (Resume, Lebenslauf)
Example of one of your R/Rmarkdown scripts