
51 - 200 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
Lantana Consulting Group is a consulting firm dedicated to making e-Health data interoperable, reusable, and meaningful. The company specializes in guiding strategies for maximum return on investment, designing solutions that integrate with existing technology investments, and utilizing standards that enhance interoperability, measurement, and reporting. With over a decade of experience, Lantana Consulting Group works with government agencies, hospitals, technology companies, and insurance providers to facilitate clinical information exchange, supporting continuity of care and data-driven policy and decision-making. The firm provides a range of solutions, including software products like Trifolia-on-FHIR, Trifolia Work Bench, and Validator, aimed at improving healthcare delivery through standards-based data exchange and reuse.
🔥 4 minutes ago
🇺🇸 United States – Remote
💵 $95k - $115k / year
⏰ Full Time
🟠 Senior
🔴 Lead
📉 Data Analyst
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51 - 200 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
Lantana Consulting Group is a consulting firm dedicated to making e-Health data interoperable, reusable, and meaningful. The company specializes in guiding strategies for maximum return on investment, designing solutions that integrate with existing technology investments, and utilizing standards that enhance interoperability, measurement, and reporting. With over a decade of experience, Lantana Consulting Group works with government agencies, hospitals, technology companies, and insurance providers to facilitate clinical information exchange, supporting continuity of care and data-driven policy and decision-making. The firm provides a range of solutions, including software products like Trifolia-on-FHIR, Trifolia Work Bench, and Validator, aimed at improving healthcare delivery through standards-based data exchange and reuse.
• 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
• 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
• Fully remote work arrangements • Flexible remote work arrangements • Employee-owned company • In-person collaboration during key events such as the annual company meeting
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