Student assistant (d/w/m) BIH QUEST Center (AG Strech)

Student assistant (d/w/m) BIH QUEST Center (AG Strech)

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Work time

part-time

Start date

nächstmöglich /asap

Employment period

limited

Application deadline

02.10.2026

Deployment location Charité

Campus Charité Mitte

Jobcode

8071

Working at Charité

The position is based at the BIH QUEST Center for Responsible Research. The mission of the QUEST Center strives to increase the value of biomedical research at BIH and beyond. The approach of th QUEST Center includes research and services in areas such as meta-research, research data management, open science, teaching, incentives, and patient involvement. The QUEST Center consists of a dynamic, interdisciplinary team that develops and implements new approaches to improving biomedical research and is very well connected both locally and internationally. The position is part of the working group “Meta-Research and Translational Bioethics” led by Prof. Dr. Dr. Daniel Strech within the project CAEHR. This project forms part of the Digital Progress Hub CAEHR (Cardiovascular Diseases – Enhancing Healthcare Through Cross-Sectoral Routine Data Integration), which is funded by the BMFTR. The project involves further developing existing governance frameworks for the secondary use of health data, focusing on the interests of data holders and their influence on data access decision-making.

Overview of the position

Support the development, revision, and piloting of materials for data collection and analysis (e.g., interview guide, templates)

Extract and summarize structured and unstructured data from different sources according to standardized protocols; maintain and update living datasets

Conduct thorough manual quality checks on extracted data

Identify challenges in data extraction or classification and contribute to developing possible solutions

Manage stakeholder engagement through professional communication and systematic tracking of outreach and follow-up activities

What we are looking for

Duly enrolled students, particularly in the following fields of study: Public Health, Health Sciences, Medicine, Psychology, Epidemiology, Life Sciences, Social Sciences, or related fields in medicine and health.

Excellent written and oral communication skills for professional stakeholder engagement, with excellent English and strong German language proficiency

Strong organisational skills, high attention to detail and the ability to work accurately on repetitive tasks

Analytical and critical thinking skills, including the ability to justify decisions made

Familiarity with office and research-related software, such as Microsoft Office applications, collaboration platforms such as GitHub, and digital or AI-supported tools for research and workflow automation

Prior experience with meta-research, qualitative research methods, and structured data collection and management is an advantage

We encourage applicants to apply even if they do not fully meet all desired skills and experience. Please tailor your resume and cover letter carefully to show your connection to this position. We value thoughtful, authentic applications. While AI tools may be used to assist with language editing, cover letters should show how your experience, skills, and interests align with the position, and how you would bring value to and benefit from the role.

Applications without a cover letter, as well as fully AI-generated submissions with minimal personal input, will not be considered. The same applies