• 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

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

For more information about the job posting, please visit our website.