EconJobMarket®

We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences) to help the Geldsetzer lab expand its work on the link between infections and vaccination, and dementia (see: https://www.nature.com/articles/s41586-025-08800-x; https://jamanetwork.com/journals/jama/fullarticle/2833335; https://www.cell.com/cell/fulltext/S0092-8674(25)01256-5; https://www.thelancet.com/journals/laneur/article/PIIS1474-4422%2825%2900455-7/fulltext). Data sources for our work in this area are large-scale electronic health record data, medical claims data, mortality registries, and epidemiological cohort studies. The researcher will be expected to publish in high-impact general science and clinical journals.

This position is part of a collaboration with the Stanford University School of Medicine. Candidates will have the option to become a visiting postdoc at Stanford University.

We are looking for someone to start as soon as possible but there is no specific deadline for the application – we hire on an ongoing basis. Remote and part-time work options are possible.

Required Qualifications:

• Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience.
• Strong coding skills in R, Stata, or other statistical software package.
• Good communication skills in English.

Required Application Materials:

• CV (a cover letter is not required)

To apply, send a message to pgeldsetzer@stanford.edu. (See posting for details.)

The Leibniz Institute for Financial Research SAFE - Sustainable Architecture for Finance in Europe - (www.safe-frankfurt.de) promotes scientific research, transfer work to the public and independent policy advice on all aspects relating to the structure and functioning of the financial system. It aims to contribute to strengthening a sustainable and resilient financial system that drives innovation and serves the needs of the economy and citizens. Researchers from the fields of economics, law, and political science collaborate at SAFE.

SAFE is seeking to fill the position of a

Research Data Infrastructure Specialist (f/m/d) (50–100% / up to TV-H13 / fixed term of 2 years)

starting at the earliest possible date.

We are looking for a motivated professional to help develop and operate our research data infrastructure, including data repositories, data pipelines, and related services. This role is particularly suited for candidates with experience in academic research who are interested in focusing more on building, improving, and maintaining data and software systems.

Your tasks

• Develop, maintain, and further enhance an institutional research data repository (Harvard Dataverse)
• Migrate existing data sets from a legacy system to the new infrastructure
• Integrate and manage DOI minting via DataCite
• Design and implement services, workflows, and automations around the repository (e.g., APIs, data pipelines, tools)
• Contribute to the design and evolution of data models and scalable data production pipelines (e.g., transforming, structuring, and linking heterogeneous data sources while ensuring data quality and provenance)
• Analyze usage statistics and derive improvements
• Coordinate closely with internal and external partners (especially the Hochschulrechenzentrum of Goethe University)
• Support and advise researchers on research data management and Open Science.

Your profile

• University degree in a relevant field (e.g., computer science, economics, data science, or related disciplines)
• Experience working with data, ideally in a research context
• Solid programming skills (especially Python) and experience with databases (e.g., PostgreSQL)
• Experience working with APIs and integrating them into existing systems, or a willingness to acquire these skills
• Interest in or experience with data modeling, data integration, and processing of heterogeneous or unstructured data sources
• Ability and motivation to independently design and implement technical solutions
• Structured and self-driven working style
• Experience in an academic environment, preferably in economics or finance, is a plus
• Familiarity with repository systems (e.g., Dataverse) or metadata standards is an advantage
• Good English skills (written and spoken)
• Good German skills are an advantage.

We offer

a versatile position at the intersection of research and modern data infrastructure. You will work in a small, dedicated team with short decision-making paths and can actively shape the further development of our systems. You will be able to contribute your own ideas and independently design and implement technical solutions.

Remuneration is based on the collective agreement for the public sector of the State of Hesse (TV-H) and depends on personal qualifications and experience, up to pay grade E13. The monthly gross salary (full-time), subject to the applicable classification and level, ranges approximately between €4,800 and €6,800, based on 12.6 monthly salary payments per year. The initial contract is for two years, with the option to convert to a permanent position. In addition, we offer an attractive occupational pension scheme through the German public sector pension fund (VBL).

SAFE seeks to increase the share of women in research and thus strongly encourages female scholars to apply. We are also committed to promote the inclusion of persons with disabilities and therefore invites them in particular to apply.

Interested? We look forward to receiving your online application.

Please apply online via our career portal >> Career | Leibniz Institute SAFE (safe-frankfurt.de)
The application deadline is May 31, 2026.

Should you have any questions, please contact Dr. Dennis Gram via e-mail: gram@safe-frankfurt.de

To apply, visit https://safe-frankfurt.de/about-safe/career/job-offers.html. (See posting for details.)