Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop a methodological framework for evaluating anonymized health data and analyze its practical utility for biomedical research, implementing new metrics to assess causal reliability.
Job Technologies
Your role in the team
- Develop and further refine a causally-grounded methodological framework for evaluating anonymized and synthetic health data in the context of the privacy-utility trade-off.
- Independently design new metrics to assess causal reliability ('causal utility') and analyze the effects of data-modifying procedures on causal identification and estimation.
- Investigate and evaluate anonymization and synthetic data generation methods with regard to their suitability for causal research questions in biomedical research.
- Apply, implement, and validate the developed methods using clinical and routine healthcare data from infrastructures of the Medical Informatics Initiative (MII) and the Network of University Medicine (NUM).
- Actively participate in a multi-site, interdisciplinary research consortium and independently contribute to and coordinate tasks related to data access and governance.
- Actively contribute to scientific publications and to the development of tools and materials that support the application and use of the results in applied health research.
- Present the results at scientific conferences.
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Our expectations of you
Education
- A successfully completed academic university degree (Master's or Diplom) in data science, medical informatics, biostatistics, bioinformatics, mathematics, epidemiology, health data science, or a related data analysis or computer science discipline.
Qualifications
- A strong interest in health data analysis research, digital medicine, and the application of modern methods to answer biomedical research questions.
- The ability to independently familiarize yourself with new methodological questions and address them in a structured manner.
- Strong programming skills in R and/or Python for preparing, analyzing, and visualizing complex biomedical datasets.
- Proficiency in reproducible analysis workflows, including version control, documentation, and transparent research practices.
- Very good written and spoken English; German language skills are not required but would be advantageous for engagement with national infrastructures and stakeholders.
- Strong teamwork and communication skills, as well as an independent, structured, and careful working style, a strong sense of responsibility, and initiative.
Experience
- Experience working with complex or high-dimensional health data is desirable, as is an interest in causal inference methods and a willingness to become familiar with the relevant research approaches quickly.
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What we offer
- A varied job in a forward-looking research institute.
- Pay group E13 TVöD VKA-K. The classification is based on qualifications, with the respective experience level calculated based on professional experience.
- 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.
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Topics that you deal with on the job
Job Locations
This is your employer
Berlin Institute of Health
The Berlin Institute of Health at Charité (BIH) is an established research institution that translates biomedical insights into innovative medical solutions. It aims to transform clinical observations into new research approaches.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
PhD Candidate BIH QUEST Center
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
