Public Health Data Analyst III

Lantana Consulting Group

. Provides data analysis and public-health expertise supporting the CDC’s National Healthcare Safety Network (NHSN), focusing on antimicrobial use and antimicrobial resistance .

Posted 9/22/2026full-timeRemote • United StatesSeniorLead💰 $95,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and public health, particularly in antimicrobial use and resistance, utilizing Python and R for data manipulation and analysis. Proficient in managing large datasets, ensuring data quality, and communicating findings to diverse audiences.

Highest-signal resume keywords

Data AnalysisPython ProgrammingR ProgrammingQuality ControlHL7 FHIR Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningData TransformationStatistical MethodsQuality-Assurance TestingUser-Acceptance TestingData IntegrationAntimicrobial Resistance AnalysisHealthcare Data AnalysisPatient-Identity MatchingLongitudinal Record Construction

Soft Skills

Attention to DetailCritical ThinkingCommunication SkillsCollaboration

Tools & Technologies

SASNHSNEHR SystemsHealthcare Terminologies

Certifications & Qualifications

Position of Public Trust Level 5

Industry Keywords

Public HealthEpidemiologyBiostatisticsAntimicrobial UseHealthcare-Associated Infections

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Provides data analysis and public-health expertise supporting the CDC’s National Healthcare Safety Network (NHSN), focusing on antimicrobial use and antimicrobial resistance
Manages end-to-end analytic workflows, including accessing, integrating, cleaning, transforming, and analyzing data from multiple sources using Python and R
Applies statistical and analytic methods and interprets and summarizes findings
Assesses and monitors data quality, identifies anomalies and quality issues, and develops automated, reproducible quality-control processes
Conducts clinical and operational analyses using HL7 FHIR-based data
Evaluates FHIR–EHR mapping, patient-identity matching, encounter reconciliation, and clinical-data standardization using FHIR and other healthcare terminologies
Analyzes client needs and translates them into formal analytic, data, or system requirements
Tests applications, troubleshoots issues, and provides actionable feedback to software developers and quality-assurance staff
Maintains knowledge of current public-health practices and relevant industry developments
Collaborates with internal and external stakeholders to plan, develop, and implement projects and related materials
Communicates analytic findings, recommendations, and statistical methods to technical and nontechnical audiences
Develops and delivers training, project updates, and presentations related to NHSN antimicrobial-use and resistance work

Requirements

What you’ll need

Bachelor’s degree in epidemiology, public health, biostatistics, or a related field and at least nine years of relevant experience; or master’s degree in one of these fields and at least seven years of relevant experience
Experience using Python or R to import and manipulate data and conduct analyses
Experience managing large datasets, moving and merging files from different platforms, cleaning and aggregating data, and performing quality control
Experience with quality-assurance testing or user-acceptance testing involving healthcare data
Excellent attention to detail and critical-thinking skills
If required by the project, ability to successfully complete and obtain a federal Position of Public Trust Level 5 background investigation, meet all eligibility criteria, and maintain the required clearance throughout employment
Candidate must reside in the United States
Preferred: Master’s degree in epidemiology, public health, biostatistics, or related field
Preferred: Experience using SAS, R, and Python
Preferred: Experience with antimicrobial use, antimicrobial resistance, and/or data regarding healthcare-associated infections
Preferred: Familiarity with NHSN
Preferred: Experience with real-world analysis and mapping of HL7 FHIR, including normalization and standardization of clinical data
Preferred: Experience analyzing large, complex healthcare datasets, including patient-identity matching across clinical systems, encounter reconciliation, longitudinal record construction, and deduplication

Benefits

Comp & perks

Fully remote work arrangements
Flexible remote work arrangements
Employee-owned company
In-person collaboration during key events such as the annual company meeting