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Postdoctoral Associate (69329)



The Department of Medicine, Division of Nephrology, Hypertension, and Renal Transplantation is seeking a Postdoctoral Associate. The division is seeking a post-doctoral associate to work on a NIH-funded project in the PRISMAP lab. The goal of the project is to use highly granular electronic health records data to develop and validate prediction models to assess kidney health dynamically. The overall objective of this application is to build an analytical approach for identifying health trajectories during hospitalization, quantifying the transitions in health states, and improving understanding of the underlying processes influencing these transitions. We plan to expand these applications to other acute illnesses. The successful candidate will have a PhD in Computer Science, Bioinformatics, Industrial Engineering, Mathematics, Statistics, or equivalent, with experience with large-scale high-dimensional predictive analytics with experience in probabilistic graphical models such as Dynamic Bayesian Network models, deep learning models, and reinforcement learning. The candidate must be able to design, develop, and validate predictive models, understand the relevant literature, and have excellent writing skills. The training environment is collaborative and includes retreats. The ideal candidate would have a strong record and innovative research in his/her previous training.

Duties include, but are not limited to:

• Design of study and prediction models.
• Data intergration and variable and outcome generation for models.
• Construction and implementation of novel prediction models such as Dynamic Bayesian Networks
• Maintain appropriate records of research methods and results and assists in preparation of presentations and/or writing manuscripts.
• Expansion of work and assistance in application of other funding

Salary is negotiable, commensurate with education and experience.

Ph.D. with a strong analytical background in in Computer Science, Bioinformatics, Industrial Engineering, Mathematics, Statistics, or equivalent.

Preferred: Programming proficiency is some language is required (e.g. Python, R, SAS, Java, C). Previous experience with analyzing large-scale predictive analysis, time series analysis, probabilistic graphical models such as Dynamic Bayesian Network models, deep learning models, and reinforcement learning, and team management is desired. Scientific publications in high quality journals is a plus. Excellent written and verbal communication skills are essential.

Please attach curriculum vitae and three letters of recommendation.

Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/ .

If an accommodation due to a disability is needed to apply for this position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 (TDD). Hiring is contingent upon eligibility to work in the US. Searches are conducted in accordance with Florida's Sunshine Law.

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