We are seeking a data science manager to assist us with developing and managing a large repository of electronic health record data of patients with ocular diseases. This position will use specific computers programs to extract relevant clinical variables from the EPIC electronic health record, clean and organize the data in a format to facilitate analysis of the data.

They will also assist with linking data from the repository to other internal and external data sources including working with IT staff at other academic institutions to facilitate data extraction from their databases to incorporate such data into the repository. They will spend most of their time working with clinicians and biostatisticians in the Department of Ophthalmology and Visual Sciences.

Manages a team of data scientist professionals that conduct research and develop tools and processes that improve the outcomes and quality of research projects. Recruits, hires, trains, and coaches staff with very high level analytical and technical skills. Determine innovative ways to improve data and search quality, and predictive capabilities. Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis. Design and build new data set processes for modeling, data mining, and production purposes.

Duties and Responsibilities:

• Research discrepancies and resolve obstacles, facilitating continuous improvement and progress. - analyzing data based on findings of others to either support those findings or to explain why something is the way it is. - Including looking into why a file may fail our pipeline. Findings from this may highlight an additional step we can add to our process or a modification to a current step.
• Engage with external sites clinical and technical leads across various roles both internally and externally. - reaching out to determine their status, discussing obstacles their running into, providing feedback, providing instruction, or anything else that comes up.
• Function as project manager, tracking the status of active sites and ensuring the repository is maintained with current data while assisting approximately 20 additional sites in achieving 'active' status.
• Manage a team of technical professionals, building and enhancing a repository for ophthalmologic data sourced from over 25 sites. - This involves keeping up with the tasks staff are working, keeping everyone focused on the current goal, and brainstorming ideas together
• Develop, maintain, and utilize a comprehensive database to monitor the status of multiple projects. - Besides our database containing the repository, I developed a separate database to keep track of sites, batches of data, reviews of data and notes regarding either the site and/or their data. - Reports can be produced from this database to provide feedback to sites regarding a batch of data or internal reports showing our internal review, notes about conversations or findings based on those reviews, the feedback provided to sites and updates from the sites. - The database also allows the ability to keep track of staff tasks. - This database has evolved over time and is still evolving based on continuous variation in how we work.
• Identify and automate manual efforts to streamline data pipelines. - This also includes explaining to others what's needed so they can automate steps.
• Establish familiarity with external data sources, determine relationships with internal data, and analyze the applications of combined data.
• Perform other duties as assigned

Salary Range: $126,470 - $205,515

LOCATED ONSITE IN BIRMINGHAM, ALABAMA. NO OPTION FOR HYBRID OR REMOTE.

Doctorate degree in a related field and seven (7) years of related experience OR Master's degree in a related field and nine (9) years of related experience required. Work experience may NOT substitute for education requirement.

Preferred:

• Proficiency certification with EPIC training
• 5-10 years of experience directly related to the responsibilities specified
• Proficiency with Oracle databases, PL/SQL, or MS SQL Server T-SQL
• Knowledge of Tableau, SAS, R, a plus
  

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