OPS Data Analyst

Master’s degree in an appropriate area and two years of relevant experience; or a bachelor’s degree in an appropriate area and four years of relevant experience.

The Data Analyst will work under the direct supervision of College of Pharmacy, Professor, Dr. Park. Candidate’s primary focus will be in manipulating large healthcare claims data or electronic health records (e.g., data cleaning, creating variables), applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with large health care datasets. Candidate will also assist faculty or students with statistical analysis on ongoing research or new research. Candidate will have experience with statistical or data mining software (e.g., SAS, Stata, R, Python, ) and analyzing data from a range of projects related to medication utilization and health outcomes.

Duties include:

• • Data Management
    • Perform database management, statistical analyses and manipulations using SAS, R, Access and visual basic programming
    • Data mining using state-of-the-art methods such as deep learning
    • Enhancing data collection procedures to include information that is relevant for building analytic systems
    • Developing and implementing programs to process and manipulate large datasets
    • Providing data programming and analytic support on a range of research projects
    • Preparation of presentations and manuscripts
    • Creating automated anomaly detection systems and constant tracking of its performance
  • Statistical Analysis
    • Supporting study design, analysis plan data collection, and grant application
    • Write statistical programming code in SAS (preferred), R, or STATA
    • Conducting and participating in study review and data security and quality monitoring
    • Preparing study reports with both tabular and graphical data presentations
    • Supporting educational opportunities to help researchers and students become more effective at study design, data management and study analysis
  • Laboratory Management
    • Interpret administrative regulations including HIPAA and policies related to statistical research studies
    • Recommend new and improved programs to effectively manage studies
    • Assure laboratory staff are in compliance with HIPAA regulations and other federal confidentiality standards

$25-$35/hour commensurate with education and experience.

Employment Benefits include:

Health Insurance: UF participates in state-sponsored benefits programs for individuals, families and domestic partners, and offers voluntary insurance that includes vision, dental, long-term disability and more. OPS employees are eligible for state benefits if your FTE is 0.75 (30 hours per week) or greater.

Retirement Options: The Federal Insurance Contributions Act (FICA) Alternative Plan is a mandatory retirement savings plan under Internal Revenue Code section 401(a) with Fidelity Investments and is required for eligible OPS employees. You may also voluntarily participate in other retirement saving plans.

To learn more visit: hr.ufl.edu/benefits

Master’s degree in an appropriate area and two years of relevant experience; or a bachelor’s degree in an appropriate area and four years of relevant experience.

• • Experience with common data science and statistical toolkits, such as R, Python, MatLab, SAS etc. Excellence in at least one of these is highly desirable
  • Experience with working with large healthcare datasets including insurance claims data and electronic health records
  • Proficiency in using query languages such as SQL
  • Strong in applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Problem solving capability
  • Adaptability
  • Good written and oral communication skills
  • Strong teamwork skills
  • Strong knowledge of data presentation software
  • Collaborative experience in biomedical and public health research

To be considered, you must upload your cover letter, resume, and list of three professional references. As a part of our review for research and research support positions, we look for a full CV which includes all professional appointments/engagements, all post-secondary education, and all publications from post-secondary education and all respective dates. Please be sure to not use acronyms in your CV. This CV should include names of entities associated with any projects.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.