Public Health Data Analyst II

Lantana Consulting Group, Inc. provides services and software for standards-based health-information exchange. We have established ourselves as a trusted leader in the industry with two decades of expertise in developing and deploying technical specifications and interoperability solutions. As a rapidly growing distributed, employee-owned company, we hire exceptional talent nationwide and offer flexible remote work arrangements. We take pride in our mission to improve public health and quality of care.

Primary purpose:

Provides data analysis and public-health expertise to the Centers for Disease Control and Prevention’s (CDC’s) National Healthcare Safety Network (NHSN), with a focus on digital quality measures (dQMs), bed-capacity initiatives, and other emerging analytical needs. Applies established analytic methods to healthcare data; assesses data quality; and collaborates with technical, clinical, and public-health teams regarding analysis, validation, and implementation activities. Leverages analytical expertise and public-health knowledge to provide actionable insights.

A successful candidate will do the following:

• Use Python or R and follow established analytic workflows to access, integrate, clean, transform, and analyze healthcare data from multiple sources

• Perform routine data-quality assessments, investigate anomalies, validate results, and contribute to reproducible quality-control checks and automated workflows

• Apply standard statistical and analytic methods to defined questions; interpret, summarize, and communicate findings and data limitations

• Analyze clinical and operational healthcare data, including HL7 FHIR-based data, to support quality measurement, surveillance, and operational reporting initiatives

• Evaluate common data issues involving FHIR–EHR mapping, clinical terminology, patient identity, and encounter information; document findings and seek guidance on complex issues

• Support testing and validation of dQM specifications, NHSN analytic outputs, and related applications; document test results and communicate issues to project and development teams

• Write, document, and maintain clear analytic code; use established version-control practices; and troubleshoot routine programming issues

• Collaborate with clinical experts, software developers, and other team members to refine analytic approaches and improve processes

• Prepare concise written summaries, visualizations, project updates, and presentations for technical and nontechnical audiences

• Manage assigned tasks and timelines independently, follow through on deliverables, and escalate questions or risks when appropriate

• Maintain up-to-date knowledge of relevant public-health practices, healthcare data standards, and developments in digital quality measurement

• Bachelor’s degree and at least six (6) years of relevant experience in epidemiology, public health, biostatistics, mathematics, or related field; or master’s degree and at least four (4) years of relevant experience

• Proficiency using Python or R to import, manipulate, clean, and analyze data and validate results

• Experience working with large or complex data sets, integrating data from multiple sources, and performing data-quality checks

• Ability to carry out routine analytic and programming assignments with limited oversight

• Strong attention to detail and problem-solving skills,

• Excellent spoken and written communication skills

• Ability to successfully complete a federal Position of Public Trust Level 5 background investigation, meet all eligibility criteria, and maintain the required clearance throughout employment

Preferred qualifications:

• Master’s degree in Epidemiology, Public Health, Biostatistics, Mathematics, or related field

• Familiarity with NHSN, healthcare-associated infections, patient safety, or healthcare quality measurement

• Experience with electronic health record (EHR) or HL7® FHIR® data and clinical terminologies such as LOINC, SNOMED CT, ICD, or RxNorm

• Experience with quality-assurance testing, measure validation, or evaluation of clinical data mapping and standardization

• Familiarity with patient-identity matching, encounter reconciliation, longitudinal healthcare data, or deduplication

Additional information:

• We are a remote organization, but we prioritize in-person collaboration during key events such as our annual company meeting.

• We are an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

• For this position, the candidate must reside in the United States.