Work time
part-time
Start date
01.10.2026
Employment period
limited
Application deadline
17.08.2026
Deployment location Charité
BIH Berlin Mitte
Jobcode
7960
Salary group
E13
Working at Charité
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.
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.
What you can expect
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Conduct independent scientific research in the field of health data analysis
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Develop and implement statistical methods for the responsible analysis of health-related data, with a particular focus on causal inference and reproducibility
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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
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Prepare and present scientific results for publications, reports, and presentation at scientific conferences
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Collaborate in interdisciplinary national and international research consortia and support the acquisition of third-party funding
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Support the supervision of students and provide them with scientific guidance
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Provide scientific advice to researchers at the QUEST Center on questions relating to study design, data analysis, and the interpretation of scientific results
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Develop, coordinate, and deliver training and continuing education in health data analysis and quality assurance in scientific research
What you bring along
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A successfully completed academic university degree (Master’s or Diplom) in epidemiology, biostatistics, medical biometry, medical informatics, mathematics, data science, or a comparable field
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A completed doctoral degree is desirable
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Sound knowledge of statistical methodology, causal inference, and/or data science
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Experience in the development, theoretical foundation, and/or evaluation of methodological approaches and analytical procedures
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Experience in the statistical analysis of scientific data and the careful interpretation of scientific results; experience with health data is desirable
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Proficiency in at least one statistical or data-analysis program (e.g., R or Python) and experience with reproducible analysis workflows
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Knowledge of the ethical, regulatory, and data-protection requirements for handling sensitive health data, or a willingness to acquire this knowledge quickly
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A demonstrated scientific publication record in accordance with scientific standards
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Experience in planning and delivering training or teaching sessions is desirable
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Very good written and spoken English (at least C1)
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Strong communication and teamwork skills, along with enthusiasm for interdisciplinary collaboration with researchers from, e.g., medicine, epidemiology, statistics, and computer science
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An independent, structured, and goal-oriented working style, as well as strong organizational skills
What we offer you
- A varied job in a forward-looking research institute
- 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
We live diversity!
We welcome applications from people with diverse backgrounds, regardless of gender, nationality, ethnic and social origin, religion and ideology, disability, age, sexual orientation and identity. Applications from women are expressly encouraged. Severely disabled and equivalent applicants will be given special consideration if they have the same qualifications and suitability.
We believe that diverse teams representing a wide range of experiences, perspectives and backgrounds enrich our research and work.
Please submit your application for Job ID 7960 by august, 17, 2026 via our online application form with a letter of motivation, curriculum vitae (without photo, without age statement and without information about your marital status) and other relevant attachments (such as employer references, degree certificates, etc.).
Note: If you have a foreign degree, please submit proof of recognition of your degree in Germany with your application. The proof can be obtained via the anabin database. Please note that it may be necessary to obtain a certificate assessment from the ZAB. You can find more information here.
Proof of measles immunity / measles vaccination is a prerequisite for employment for those born after 1970.
You can find more information about BIH here.
Application
Everyone is welcome at the Charité, regardless of age, religion, gender, gender identity, sexual orientation, nationality, disability, ethnic or social background. We are committed to equal opportunities and inclusion.
For data protection reasons, we only accept applications via our application portal. The contact details provided below are intended solely for inquiries.
Apply nowContact person
For technical or role-related questions regarding the job posting, please contact Dr. Jessica Rohmann (Email: jessica.rohmann@charite.de).
For questions regarding the application process, please contact Mr Phillip Guderski by email at jobs@bih-charite.de.
More information
Data protection information
The Charité would like to point out that personal data is stored and processed at various locations at the Charité premises (e.g. specialty department, personnel representatives, HR department) as part of and for the purposes of the application process. Furthermore, the data may be transferred or processed within the group and to external bodies (e.g. authorities) to protect legitimate interests. By submitting your application, you agree to our data protection policy and terms of use for application procedures, which you can find here.
Additional information
Charité – Universitätsmedizin Berlin makes its personnel decisions based on suitability, ability and professional performance. The Charité aims to increase the proportion of women in management positions and therefore strongly encourages women to apply. Women with equivalent qualifications will be given priority within the scope of legal possibilities. Applications from people with a migration background who meet the recruitment requirements are expressly encouraged. Severely disabled applicants with equal qualifications will be given preference. A police good-conduct certificate, in some cases an extended good-conduct certificate, is required at the time of recruitment. Unfortunately, application documents can be returned only if a sufficiently stamped envelope is enclosed. Any incurred travel expenses cannot be reimbursed.