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Post Doc Fellow - Biomedical/Software

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Date: Sep 12, 2017

Location: Cincinnati, OH, US

POST DOC FELLOW

Department of Internal Medicine, Division of Cardiology

UNIVERSITY OF CINCINNATI, College of Medicine

 

The University of Cincinnati is a premier, public, urban research university; ranked as one of America’s top 26 public research universities by the National Science Foundation. U.S. News has ranked UC in the Top Tier of America’s Best Colleges. The Chronicle of Higher Education calls UC a “research heavyweight”. Forbes, Delta Sky and Travel + Leisure magazines have named UC one of the most beautiful campuses. #HottestCollegeInAmerica

 

UC is one of the largest employers in the Cincinnati region, employing over 15,000 full time and part time faculty, staff and student workers. The College of Medicine, Department of Internal Medicine, Division of Cardiology is recruiting for a full-time (100% FTE) Postdoctoral Fellow. This position will support the University’s mission and commitment to excellence and diversity in our students, faculty, staff, and all our activities. 

 

This position will support the PI’s clinical/translational multicenter research project -- Critical Health Assessment and Outcomes Study (CHAOS), which employs a multidisciplinary approach for optimization and validation of numerical algorithms for dynamic predictive monitoring for early diagnosis of subclinical illness. This project is seeking an applicant who will be responsible for prototyping new features, contributing to the overall design and architecture of future components, and improving existing codebases, including:

  • Developing and optimizing tools for automated and secure storage of physiological waveform data from telemetry and remote monitoring of patients for linkage with the electronic health record.
  • Collecting, processing, and analyzing data from large, multicenter randomized clinical trials.
  • Using gathered information to develop and validate numerical algorithms for predictive monitoring using real-time stream-computing and high-performance computing.
  • Creating an open-source open-platform informatics/analytics infrastructure freely available to the research community for translating Big Data science into clinical practice.

 

This position requires:

  • Strong software programming, data structuring, compiling, debugging and design skills, including C/C++/CUDA and translating (recoding) existing Matlab code into C/C++/CUDA.
  • Developing new algorithms and optimizing existing algorithms and for automatic detection of specific patterns or shapes in time-series data from animal models and human subjects.
  • Enhancing existing systems by analyzing objectives, preparing an action plan and identifying areas for modification and improvement in “big data” informatics, network engineering and electronic health record queries for design of embedded products, including code/compiler optimizations.
  • Solving complex problems in clinical medicine through a collaborative effort with biomedical scientists, IT staff, engineers, statisticians, mathematicians, physicists and clinicians.
  • Coordinating and assuming primary responsibility for all IT/engineering aspects, including (1) maintaining standard operating procedures and guidelines; (2) assuring compliance with applicable state, federal, and institutional laws/regulations pertaining to animal and human research; (3) general upkeep of hardware and software functionality; (4) training/guiding students/staff.
  • Maintaining experimental data/records and sharing these with the PI in weekly meetings and presenting research results orally and in writing through article publications.

 

Minimum Qualifications:

  • Ph.D. in Computer Science, Computer Engineering, Biomedical Engineering, or related field
  • Previous experience in Computer Science, Computer Engineering, Biomedical Engineering, or related field
  • Strong mathematical and coding skills with software and tools including Matlab, C/C++ and CUDA

 

Preferred Qualifications:

  • Knowledge and experience developing pattern recognition and machine learning algorithms, signal processing, parallel programming, and software development for “Big Data” analytics

 

The University of Cincinnati, as a multi-national and culturally diverse university, is committed to providing an inclusive, equitable and diverse place of learning and employment. As part of a complete job application you will be asked to include a Contribution to Diversity and Inclusion statement.

 

The University of Cincinnati is an Affirmative Action / Equal Opportunity Employer / M / F / Veteran / Disabled.

 

REQ: 16327

SF:OMJ SF:OOD SF:VA SF:INS


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