Data Scientist-Pharmacy

Brown University Health ServicesProvidence, RI
297d$93,558

About The Position

Full time position working for Rhode Island Hospital (RIH) providing services at RIH 593 Eddy Street Providence RI; The Miriam Hospital 164 Summit Avenue Providence RI; Newport Hospital 20 Powel Avenue Newport RI; Bradley Hospital 1011 Veterans Memorial Parkway East Providence RI; Lifespan Specialty Pharmacy 117 Chapman Street Providence RI; and remotely at 307 Greenwich Avenue Apt. E223 Warwick RI.

Requirements

  • Master’s Degree in Computer Science with concentration in Data Analytics or a Bachelor’s Degree in Computer Science and two years’ work experience in a data analytics and programming position.
  • Experience in preparation of advanced SQL statements including subqueries, aggregations, and query optimization.
  • Development of programming code used in at least two projects utilized in a production business environment.
  • Completion of at least two data mining and statistical analysis projects in a business environment.
  • Explanation of at least two complex data or coding projects to coworkers without coding or data analysis skills.
  • Transforming data from one data structure to another in a business environment.
  • Training at least 2 predictive analytics models and identifying patterns in how the models predict.
  • Use of statistical programming languages Python or R in a business environment.

Responsibilities

  • Reporting to the Team Lead Pharmacy Business Operations and Clinical Intelligence.
  • Running analytical experiments and solution development to support all areas of pharmacy services.
  • Developing explanatory and predictive models utilizing modern methods.
  • Regularly evaluating existing analytics and utilizing data storytelling.
  • Serving as backup and support to the Systems and Analytics Specialists on the team.
  • Utilizing technical analytical statistical and applied math skills to support pharmacy services.
  • Extracting knowledge from data to drive action.
  • Researching and developing statistical learning models for data analysis.
  • Designing, building, and troubleshooting data Extract Transfer Load (ETL) processes.
  • Designing, building, and troubleshooting highly functional data visualizations utilizing Microsoft Power BI or similar tools.
  • Collaborating with pharmacy clinical and operational staff to understand health system needs.
  • Keeping up to date with the latest technology trends.
  • Sharing successes with other healthcare organizations through journal publication and presentations.
  • Collaborating in the design of business processes for efficient data collection.
  • Participating in pharmacy quality improvement.
  • Supporting and taking part in pharmacy research initiatives.
  • Working jointly with stakeholders throughout the healthcare organization.
  • Maintaining and troubleshooting internal webpages, Microsoft Excel, Microsoft Access, and Filemaker solutions.
  • Building, maintaining, and troubleshooting basic reports from various data sources.
  • Designing and/or implementing solutions to security vulnerabilities.
  • Responsible for weekly rotating on-call coverage.
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