Data Governance Epidemiologist

Overview

DATA GOVERNANCE EPIDEMIOLOGIST - Department of Health, Office of Informatics & Analytics, Nashville, TN

Annual Salary: $89,496.00 - $. Salary based on education and experience.

Closing Date: 05/25/2026. This position is designed as Hybrid (In office and remote).

Background Check:
This position requires a criminal background check. Therefore, you may be required to provide information about your criminal history in order to be considered for this position.

• Act as the Deputy to the Director of Data Governance: be the back-up for the Director of Data Governance when the Director is out of the office. Assist with Data Governance consulting, training and communication related activities.
• Manage and support the Data Governance epidemiologists. Build depth on the team through cross-training. Maintain a cross-training plan so that at least two members are trained in each critical function. Build depth on the team through mentoring. Provide feedback to the Data Governance epidemiologists after key meetings or project deliverables to reinforce learning.
• Support the definition and implementation of SOPs and best practices for de-identifying data sets.
• Define, develop and implement SOPs and best practices for governing the use of and access to linked data.
• Guide requests for linked data sets through the data request process from initiation through fulfillment.
• Support the implementation and roll-out of the Informatica Data catalog and the Snowflake data lake.
• Manage and support the implementation of a metadata management framework.
• Collaborate with the Office of Quality & Performance Management and the TDH Quality Council to develop and support the implementation of a TDH data quality framework.
• Understand stakeholders requirements for quality, measure data against these requirements, and develop initial improvement plans.
• Apply statistical knowledge to data analyses.

• Advanced degree in public health or a related scientific field.
• Expert Knowledge of the HIPAA Privacy Rule, its requirements relating to uses and disclosures of protected health information and Personally Identifiable Information, and how it may interplay with state laws and regulations.
• Experience with methods for De-identification of Protected Health Information in accordance with HIPAA (Safe Harbor, Expert Determination).
• JD (Juris Doctor) degree preferred but not required.
• Knowledge of generally accepted statistical and scientific principles and methods for rendering information not individually identifiable, including applying such principles to determine risk and documenting methods and results.
• Experience with use of unique identifier techniques in data linkage and deterministic and probabilistic matching essential techniques and best practices.
• Working knowledge of data sharing legislation and data governance frameworks.
• Experience with Institutional Review Board (IRB) processes. Prior experience serving on or collaborating with an IRB is preferred. Understanding of how data is used for research purposes.
• Able to work independently and as part of a team. Detail oriented and critical thinker.
• Understanding and use of data visualization analytic techniques and statistical software tools (SAS, SPSS, R, REDCap, GIS, Tableau, and Python).
• Artificial Intelligence and Machine Learning language basics; use and application a plus.
• Familiarity with spatial aggregation and geographic aggregation GIS application use and capacity.
• Excellent written and oral communication skills. Strong knowledge of Microsoft Office Suite. Curious and willing to learn.

Pursuant to the State of Tennessee's Workplace Discrimination and Harassment policy, the State is firmly committed to the principle of fair and equal employment opportunities for its citizens and strives to protect the rights and opportunities of all people to seek, obtain, and hold employment without being subjected to illegal discrimination and harassment in the workplace. It is the State's policy to provide an environment free of discrimination and harassment of an individual because of that person’s race, color, national origin, age, sex, pregnancy, religion, creed, disability, veteran's status or any other category protected by state and/or federal civil rights laws.