Postdoctoral Fellowship or PhD Student Position in Machine Learning for Patient Data Analysis

Job Description---> The “Machine Learning for Optimization of Patient Treatments” group at the Helmholtz Center Munich (HMGU) is seeking to hire multiple talented and motivated individuals at the Postdoc or PhD Student level to join our team to develop new data analytics for the optimization of patient pathways, using big data analysis methods on electronic medical records (EMR). Our goal is to model, predict, and find causal factors related to the outcomes of interest, such as length of stay, prolonged intubation, blood transfusion, and renal failure. Your Qualifications---> - MSc or PhD degree in computer science, statistics, mathematics, data science or equivalent - Strong background in machine learning (graphical models, Bayesian and neural networks), statistics, and preferably causal inference methods; - Knowledge of and/or experience with time-series data, preferably clinical data; - Programming expertise in Python, R, and SQL; - Interest and/or experience in working with healthcare problems (particularly surgical procedures); - Demonstrated skill in scientific writing; - Excellent interpersonal skills with the ability to work independently and in collaboration with a multidisciplinary team of surgeons and engineers. - Experience with healthcare data and building real-world systems is a plus. Our offer---> This project is a joint collaboration between the Johns Hopkins University (JHU; Baltimore MD, USA) and the HMGU (Munich, Germany). The primary location for our team is at the HMGU Munich center. However, our team members will have opportunity to visit and work with faculties and researchers at JHU. Our HMGU-funded project currently has access to 10 years of comprehensive EMR data of patients who underwent cardiac surgery at the Johns Hopkins Hospital (Baltimore MD, USA). Furthermore, we work with other national-level databases within the scope of this project. In addition to project-specific work, you will have the opportunity to mentor students at the graduate and undergraduate level, and may initiate and pursue research on supplemental ideas in collaboration with faculty aligned with their interests. The position is (initially) limited to three years.