Postdoctoral Research Fellow
- Cleveland Clinic
- Location: Cleveland, OH
- Job Number: 7063173
- Posting Date: Jan 21, 2020
- Application Deadline: Open Until Filled
Post-Doctoral Research Fellowship – Quantitative Health Sciences
Modeling and Forecasting Methods for Dynamic Systems in Healthcare
The Department of Quantitative Health Sciences (QHS) is seeking a post-doctoral fellow to join a multidisciplinary group of investigators, led by Jarrod E. Dalton, PhD and Adam T. Perzynski, PhD (NIA R01AG055480), to help develop methods and tools for advanced modeling of dynamic systems in health care, with a disease focus on cardiovascular aging in diverse populations.
The scope of the planned work includes contributions to new and ongoing software development projects, authorship of corresponding research manuscripts, and applications of the developed methods toward complex dynamic modeling problems in health care. We will develop and implement methods for constructing probabilistic dynamic systems and quantifying forecast accuracy.
Preferred Additional Qualifications:
QHS is located in the Lerner Research Institute of the Cleveland Clinic and consists of >90 faculty, biostatisticians, analysts, data scientists, and programmers working in diverse areas of basic, clinical and translational research. The Cleveland Clinic Foundation was founded in 1921 with the goal of integrating a team-based approach clinical and hospital care with research and education. Perennially ranked as a top hospital in the country by U.S. News & World Report, Cleveland Clinic is academically affiliated with Case Western Reserve University through the Cleveland Clinic Lerner College of Medicine.
Interested applicants are invited to submit (a) their curriculum vitae; (b) 1-2 page personal statement describing their research interests and career objectives; (c) up to 3 representative publications (or completed manuscript drafts or chapters from their dissertation work); and (d) any R packages or Python modules they have developed, with corresponding documentation (links to open repositories such as GitHub are acceptable). Applications should be directed to Stacy Menser (firstname.lastname@example.org)
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