The ROCKWOOL Foundation Berlin – Institute for the Economy and the Future of Work (RFBerlin), a research institute focused on data-driven research, is seeking a research assistant for tasks related to Guido Friebels public policy research agenda, including a project about infrastructure in Germany and extremist voting behaviour.

As a student assistant, you will be responsible for data collection and preparation tasks. This position offers a unique chance to gain hands-on experience in data-driven research and develop your coding skills in a dynamic and supportive environment. This is a 20 hours per week position that offers flexible hours, allowing you to balance work and your studies. We are excited to welcome a new team member to our office in Berlin and would like to offer an immediate start for the position, based on individual agreement.

Job Responsibilities

• Assist in collecting data on a number of topics in Germany, among others on co-determination in firms and the quality of infrastructure in particular in rural Germany such as the train networks, the healthcare industry, and broadband internet.
• Prepare, and analyze data using R, Python, or Stata.
• Assist with project management, including scheduling meetings, tracking deadlines, and communicating with team members.
• Attend team meetings and document the data collection process to allow replicability of the research.

Qualifications

• Currently enrolled in a bachelor’s or master’s program in statistics, economics, informatics, or a related discipline.
• Good coding skills in R, Python, or Stata.
• Interest in research and data analysis.
• Strong organizational skills and attention to detail.
• Excellent written and verbal communication skills in English (German optional).
• Ability to work independently and prioritize tasks effectively.

How to Apply

RFBerlin is an equal opportunity employer. If you are interested in applying for this position, please submit your resume, a cover letter, transcripts, references (if applicable) and a past coding assignment/project illustrating your ability to work with large datasets to [email protected].

Applicants will be screened on a rolling basis. In your cover letter, please explain why you are interested in this position and how your qualifications make you a strong fit for the role.

Please feel free to contact us if you have any questions. We look forward to hearing from you!