Research Fellow (all genders) BIH QUEST Center (Team "Responsible Health Data Analysis") (65%)

The QUEST Center for Responsible Research at the Berlin Institute of Health (BIH) at Charité develops and implements new approaches to support the trustworthy conduct of biomedical research and the delivery of useful results in accordance with ethical standards., To strengthen the Responsible Health Data Analysis (RHDA) team, we are seeking a dedicated Research Fellow (all genders) in part-time (65%), starting on 01.10.2026 and ending on 30.09.2029. The RHDA Team develops and implements methods for the transparent, valid, and responsible analysis of health data, with a particular focus on causal inference and improving the quality of evidence in health science. The position offers the opportunity to design and carry out independent scientific projects in the field of health data analysis. In addition, the position supports the RHDA Team in scientific consulting and the development and delivery of training programs on health data analysis and quality assurance.

The position is initially offered at 65% FTE. We are actively pursuing additional funding opportunities, which may allow for an increase in working hours in the future, subject to successful funding acquisition.

The interviews are expected to take place during the week of August 24.

Research Fellow (all genders) BIH QUEST Center (Team "Responsible Health Data Analysis") (65%)

English

Tasks:

• Conduct independent scientific research in the field of health data analysis
• Develop and implement statistical methods for the responsible analysis of health-related data, with a particular focus on causal inference and reproducibility
• Perform meta-research to evaluate quality, transparency, and scientific processes in health data analysis, including the investigation of systematic bias and its impact on scientific conclusions
• Prepare and present scientific results for publications, reports, and presentation at scientific conferences
• Collaborate in interdisciplinary national and international research consortia and support the acquisition of third-party funding
• Support the supervision of students and provide them with scientific guidance
• Provide scientific advice to researchers at the QUEST Center on questions relating to study design, data analysis, and the interpretation of scientific results
• Develop, coordinate, and deliver training and continuing education in health data analysis and quality assurance in scientific research

• A successfully completed academic university degree (Master's or Diplom) in epidemiology, biostatistics, medical biometry, medical informatics, mathematics, data science, or a comparable field
• A completed doctoral degree is desirable
• Sound knowledge of statistical methodology, causal inference, and/or data science
• Experience in the development, theoretical foundation, and/or evaluation of methodological approaches and analytical procedures
• Experience in the statistical analysis of scientific data and the careful interpretation of scientific results; experience with health data is desirable
• Proficiency in at least one statistical or data-analysis program (e.g., R or Python) and experience with reproducible analysis workflows
• Knowledge of the ethical, regulatory, and data-protection requirements for handling sensitive health data, or a willingness to acquire this knowledge quickly
• A demonstrated scientific publication record in accordance with scientific standards
• Experience in planning and delivering training or teaching sessions is desirable
• Very good written and spoken English (at least C1)
• Strong communication and teamwork skills, along with enthusiasm for interdisciplinary collaboration with researchers from, e.g., medicine, epidemiology, statistics, and computer science
• An independent, structured, and goal-oriented working style, as well as strong organizational skills

Pay group E13 TVöD VKA-K. The classification is based on qualifications, the respective experience level is calculated on the basis of professional experience. The annual salary (gross) is stated for a full-time position without special or additional payments. The collective agreement can be found here. Additional benefits customary in the public sector (including annual special payment, company pension scheme (VBL), capital-forming benefits) Flexible working hours and the option of working remote 30 vacation days per year (with a five-day week) Various support offers to balance work and family life (childcare, cooperation with voiio) Training and further education opportunities Mobile citizens' office on site Corporate benefits (travel, leisure, shopping, etc.), Wellhub, JobRad Very easily accessible and attractive workplace at the Spreepalais am Dom, Anna-Louisa-Karsch-Str. 2, 10178 Berlin

The Berlin Institute of Health at Charité (BIH) is dedicated to biomedical translation. Its mission is to translate research findings into personalized prevention, diagnostics, and therapies to benefit patients and provide the scientific community with effective tools. With approximately 750 employees, the BIH specializes in translational method development, precision medicine, regenerative therapies, and biomedical data science. Closely integrated with Charité, the BIH promotes excellent research and facilitates the accelerated transfer of new discoveries into clinical practice through its supporting platforms and programs. Through these efforts, the BIH builds strong partnerships and fosters innovation-driven medicine in both national and international contexts.