Postdoc in Causal Inference (f/m/d)
Core
Developing predictive models for sepsis and other clinically relevant endpoints using secondary healthcare data analysis and causal inference methods.
Role type
Postdoctoral researcher in causal inference and medical informatics
Builds
Predictive models for clinical endpoints (e.g., sepsis) and research publications
Domain
Healthcare / Epidemiology / Computer Science
Deliverable
production ML models | research
Required skills
Causal inference methods, Secondary data analysis, Statistical modeling, R programming, SAS programming, Python programming, Supervision of students
Preferred skills
German language skills
Technologies
R, SAS, Python
Responsibilities
Plan and execute independent analyses using causal inference methods, Develop and adapt methods for medical research questions, Supervise undergraduate and graduate students, Collaborate with national and international partners, Prepare reports and publications
Seniority
Postdoctoral researcher