Live opening · Posted 7 days ago

Public Health Data Analyst III

Lantana Consulting Group · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyLantana Consulting Group
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Job Type
Full-time
Description
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 support the Centers for Disease Control and Prevention’s (CDC’s) National Healthcare Safety Network (NHSN), with a focus on antimicrobial use and antimicrobial resistance. Applies analytical methods to complex healthcare data to generate actionable insights. Collaborates with technical, clinical, and public-health partners to interpret findings and support data-driven decision-making.
A Successful Candidate Will Do The Following
Manage end-to-end analytic workflows, including accessing, integrating, cleaning, transforming, and analyzing data from multiple sources using Python and R
Apply appropriate statistical and analytic methods and interpret and summarize findings
Assess and monitor data quality, identify anomalies and other quality issues, and develop automated, reproducible quality-control processes
Conduct clinical and operational analyses using Health Level Seven International® (HL7) Fast Healthcare Interoperability Resources® (FHIR)-based data, including evaluating FHIR–EHR mapping, patient-identity matching, encounter reconciliation, and standardization of clinical data using FHIR and other healthcare terminologies
Analyze client needs and translate them into formal analytic, data, or system requirements
Test applications, troubleshoot issues, and provide actionable feedback to software developers and quality-assurance staff
Maintain knowledge of current public-health practices and relevant industry developments
Collaborate with internal and external stakeholders to plan, develop, and implement projects and related materials
Communicate analytic findings, recommendations, and statistical methods verbally and in writing to technical and nontechnical audiences, including clinical, product, and project teams as well as clients and management
Develop and deliver training, project updates, and presentations related to NHSN’s work on antimicrobial use and resistance
Requirements
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
Preferred Qualifications
Master’s degree in epidemiology, public health, biostatistics, or related field
Experience using SAS, R, and Python
Experience with antimicrobial use, antimicrobial resistance, and/or data regarding healthcare-associated infections
Familiarity with NHSN
Experience with real-world analysis and mapping of HL7 FHIR, including normalization and standardization of clinical data
Experience analyzing large, complex healthcare datasets, including patient-identity matching across clinical systems, encounter reconciliation, longitudinal record construction, and 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.
Salary Description
$95,000 - $115,000

Work arrangement
Yes

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