Student Research Assistant (m/f/d/x)

Technologiepark Uni Bremen; Bremen; Hybrid; EUR 17,000 - 25,000; Full time

Job summary

The Leibniz Institute for Prevention Research and Epidemiology – BIPS, in Bremen, invites applications for a Student Research Assistant (m/f/d/x) in the Department of Statistical Methods in Epidemiology and the Data Science unit. You will support data preparation, analysis, and programming tasks using R, Python or SAS under supervision.

Start by arrangement, with 6–12 hours per week and a contract for 6–12 months (extension possible).

Qualifications

• Bachelor's degree in statistics, biostatistics, mathematics, data science or related field.
• Experience in programming (R, Python or SAS).
• Interested in quantitative methods and health research.
• Team oriented and reliable; able to communicate in German and/or English.

Responsibilities

• Assist with preparation, quality assessment and monitoring of study data.
• Assist with organization and analysis of epidemiological data.
• Program in R, Python or SAS (depends on project).
• Set up simulation studies and create plots and shiny apps.

Skills

R/Python/SAS

Education

Bachelor's degree in statistics/biostatistics/mathematics/data science

Tools

R

Python

SAS

Job description

The Leibniz Institute for Prevention Research and Epidemiology – BIPS, department of Statistical Methods in Epidemiology and the unit Data Science offer several positions as

Student Research Assistant (m/f/d/x)

Salary: 15.20 EUR per hour (pre-tax)

Duration: 6-12 months (extension possible)

Working hours: 6-12 hours per week

Start: by arrangement

About us

The Leibniz Institute for Prevention Research and Epidemiology – BIPS develops effective strategies for the prevention of chronic, non-communicable diseases. Supporting a healthy life-course early on is our primary goal. The focus of our research is therefore on factors beyond individual diseases, such as lifestyle and environment, biological and social factors, as well as early detection of diseases and drug safety. Our research spectrum covers methodological development, the identification of the causes of diseases, and intervention and implementation research.

The Department of Statistical Methods in Epidemiology and the Data Science unit at BIPS contribute to a wide range of epidemiological research projects. Our work includes the analysis of cohort and other primary data, such as nutrition, physical activity, genetic and molecular data, as well as their combination with secondary data, including spatial exposure data.

Our research spans statistical methods for epidemiology, causal inference, interpretable machine learning and federated data analysis. We also support the quality assurance and monitoring of the upcoming field survey in the IDEFICS/I.Family cohort study.

As a student research assistant, you will support our teams in their research activities. Depending on the project, your tasks may include:

• Supporting the preparation, quality assessment and monitoring of study data
• Assisting with the organization and analysis of epidemiological data
• Programming in R, Python or SAS (depends on the project)
• Setting up simulation studies
• Creating plots and shiny applications
• Interpretation of results

The work is varied and offers insight into the day-to-day activities of biometricians and data scientists in epidemiological research.

Your profile

• You are currently enrolled at a university in a relevant field.
• You have a Bachelor's degree in statistics, biostatistics, mathematics, data science, or a related discipline.
• You have experience in programming (preferable in R, Python or SAS)
• You are interested in quantitative methods and their application to health research.
• You work carefully and reliably, and enjoy working as part of a team.
• You are able to communicate in German and/or English.

What we offer

We offer exciting research topics, a stimulating international environment, a good infrastructure, close ties to the University of Bremen and an engaged, supportive and cooperative team. We also assign Master's thesis topics that cover the areas of theoretical or applied statistics in epidemiology.

Among equally qualified applicants, preference will be given to severely disabled candidates. BIPS holds the audit 'berufundfamilie' (work and family) certificate and actively promotes the compatibility of career and individual lifestyle through flexible working hours, and continuous professional development.

Enquiries to: Ronja Foraita, PhD telephone: +49-421 / 218-56954, email: [e-mail]

Additional information can be found on our homepage: www.leibniz-bips.de/en

Kontakt