Mid-Atlantic HERC

Leads a team of data scientist professionals. Provides consultation on the design, testing, and enhancement of reporting systems. Researches, manipulates, and prepares advanced data reports related to program activities and the results of research interventions. Typically includes creating various machine learning-based tools or processes within the unit, such as recommendation engines or automated lead scoring systems. Performs statistical analysis to build Artificial Intelligence tools that automate certain processes within the unit and implement data science algorithms (e.g. regression, classification and clustering techniques, decision trees and random forests, machine learning techniques like supervised, unsupervised and reinforcement learning). Mentors and trains junior and professional staff members.

Data scientist lead for the Sight Outcomes Research Collaborative (SOURCE), a consortium of academic ophthalmology departments sharing de-identified electronic health record and ocular diagnostic test data on eye care recipients for research and quality improvement projects.

Duties and Responsibilities:

• Provide support for faculty in the areas of data management and analysis
• Support faculty and trainee research projects
• Develop familiarity with external data sources, determine relationships with internal data and analyze uses of combined data
• Communication of technical concepts to other researchers, publications, grants, external collaborators
• Develop, maintain and utilize a database to track status of multiple projects
• Perform other duties as assigned

Salary Range: $104,045 - $169,075

This position is located onsite in Birmingham, AL. No opportunity for remote work.

Doctorate degree in a related field and four (4) years of related experience OR Master's degree in a related field and six (6) years of related experience required. Work experience may NOT substitute for education requirement.

Preferred:

• Experience working with Tableau
• Experience in the use of PostgreSQL, Javascript, D3.js and Node.js, Linux, and other coding
• Experience working with nationally-representative survey data

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