OPS Data Analyst

OPS Sponsored Projects Non-Clerical<\/p>\n<\/td>\n<\/tr>\n

The Data Analyst will work under the direct supervision of College of Pharmacy, Associate Professor, Dr. Park. Candidate\u2019s 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, Salford, Access) and analyzing data from a range of projects related to medication utilization and health outcomes.<\/p>\n

Data Management<\/p>\n

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• Perform database management, statistical analyses and manipulations using SAS, R, Access and visual basic programming<\/li>\n
• Data mining using state-of-the-art methods such as deep learning<\/li>\n
• Enhancing data collection procedures to include information that is relevant for building analytic systems<\/li>\n
• Developing and implementing programs to process and manipulate large datasets<\/li>\n
• Providing data programming and analytic support on a range of research projects<\/li>\n
• Preparation of presentations and manuscripts<\/li>\n
• Creating automated anomaly detection systems and constant tracking of its performance<\/li>\n<\/ul>\n

  Statistical Analysis<\/p>\n

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  • Supporting study design, analysis plan data collection, and grant application<\/li>\n
  • Write statistical programming code in SAS (preferred), R, or STATA<\/li>\n
  • Conducting and participating in study review and data security and quality monitoring<\/li>\n
  • Preparing study reports with both tabular and graphical data presentations<\/li>\n
  • Supporting educational opportunities to help researchers and students become more effective at study design, data management and study analysis<\/li>\n<\/ul>\n

    Laboratory Management<\/p>\n

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    • Interpret administrative regulations including HIPAA and policies related to statistical research studies<\/li>\n
    • Recommend new and improved programs to effectively manage studies<\/li>\n
    • Assure laboratory staff are in compliance with HIPAA regulations and other federal confidentiality standards<\/li>\n<\/ul>\n
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      The University of Florida, College of Pharmacy, strives to stimulate a culture that promotes diversity and inclusion within an exceptional community of students, faculty and staff. We welcome applicants from diverse backgrounds and are committed to developing leaders who respect, support and have a positive impact on all individuals.<\/span>
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      In recognition of its efforts to cultivate a diverse and inclusive environment, the College of Pharmacy was the <\/span>recipient<\/span><\/a> of a 2021 Insight into Diversity Health Professions Higher Education Excellence in Diversity Award.<\/span> <\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

$25-$35\/hour commensurate with education and experience.<\/p>\n<\/td>\n<\/tr>\n

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.<\/p>\n<\/td>\n<\/tr>\n

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• Excellent understanding of machine learning techniques and algorithms (e.g., Na\u00efve Bayes, SVM, Gradient boosting machine, deep learning etc.)<\/li>\n
• 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<\/li>\n
• Experience with working with large healthcare datasets including insurance claims data and electronic health records<\/li>\n
• Experience with data visualization tools, such as D3.js, GGplot, etc.<\/li>\n
• Proficiency in using query languages such as SQL<\/li>\n
• Strong in applied statistics skills, such as distributions, statistical testing, regression, etc.<\/li>\n
• Problem solving capability<\/li>\n
• Adaptability<\/li>\n
• Good written and oral communication skills<\/li>\n
• Strong teamwork skills<\/li>\n
• Critical thinking<\/li>\n
• Strong computer background<\/li>\n
• Strong knowledge of data presentation software<\/li>\n
• Collaborative experience in biomedical and public health research<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n

In order to be considered, you must upload your cover letter, resume, and list of 3 professional references. As a part of our review 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. <\/span> <\/span><\/p>\n

Application must be submitted by 11:55 p.m. (ET) of the posting end date.<\/p>\n

This is a time-limited position.<\/p>\n<\/td>\n<\/tr>\n

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