Healthcare Data Analyst – Consultant

Lucem Health is a company focused on revolutionizing healthcare delivery through clinical AI. They are seeking a Healthcare Data Analyst to design and build their advanced analytics platform, collaborating closely with Product Management and physicians to ensure the tool meets customer needs and provides meaningful clinical insights.

Responsibilities:

• Analyze diagnostic workflows, clinical guidelines, and emerging practices within target disease areas to inform Insights feature and reporting requirements
• Gather and synthesize insights on patient journeys, physician workflows, and clinical decision criteria used to diagnose and manage the disease
• Research, document, and maintain disease definitions and clinical logic (e.g., diagnostic signals, labs, procedures, medications), serving as a subject matter expert for supported conditions
• Build and maintain Life Sciences reporting that characterizes diagnostic and treatment pathways, including clinically meaningful events, milestones, and timing between steps
• Define and maintain customer-facing metric specifications, data dictionaries, and reporting documentation to ensure consistent interpretation across stakeholders
• Develop and support MetaBase dashboards and/or the curated datasets that power them, ensuring metric consistency, reproducibility, and traceability to source logic
• Support client-facing discussions by clearly explaining reporting methodology, assumptions/limitations, and root causes of metric variance over time (e.g., logic changes, data refreshes, upstream source changes)
• Collaborate with key customers, clinicians, and healthcare providers to understand their diagnostic and therapeutic workflows and needs
• Facilitate workshops and interviews to extract requirements for disease identification, medications, and associated clinical events
• Lead the build-out of key explanatory analytics that provide insight into disease pathways and variation in clinician behavior using data from the EMR
• Define and prioritize key medications, blood tests, and diagnostic filters to be incorporated into the configuration of the Disease Insights product for a particular disease
• Identify clinical 'events of interest' relevant to the disease area, such as symptom onset, critical lab thresholds, and treatment milestones
• Translate market intelligence into technical specifications and requirements for the development team
• Collaborate with data engineering teams to ensure accurate integration of data sources (e.g., EMR data, claims data, etc.)
• Maintain and update medical coding crosswalk mappings for use within the organization
• Partner with Product Management to align technical implementation with the overall product roadmap
• Validate prototype features with end-users and incorporate feedback into iterative development cycles
• Document insights and provide comprehensive reports that support strategic decision-making
• Perform validation of data outputs to ensure accuracy and relevance to clinical scenarios
• Develop test cases and scenarios to evaluate the effectiveness of diagnosis filters and event-based insights
• Troubleshoot and resolve issues related to data inaccuracies or inconsistencies
• Serve as a subject matter expert for disease-specific insights, supporting both internal teams and external customers

Requirements:

• Ability to synthesize large volumes of data to extract actionable insights
• Proficiency in tools such as SQL
• The ability to research targeted disease areas, including diagnosis processes, treatment pathways, and key laboratory and procedure tests relevant to the disease
• Jira, Confluence, Smartsheet, SharePoint, Microsoft Office, Gemini, SQL, and MetaBase
• Analyze large datasets to identify trends, patterns, and anomalies
• Interpret the results to provide clear, data-driven answers to complex clinical and business questions
• Strong background in data analytics, clinical workflows, or healthcare technology systems
• Familiarity with EMR data, clinical terminologies (e.g., ICD-10, LOINC, NDC, CPT), and diagnostic criteria
• Design, build, and maintain insightful and interactive dashboards and reports using MetaBase
• Translate complex analytical findings into compelling narratives and easily understandable visualizations for clinical staff, business stakeholders, and leadership
• Ensure the accuracy and integrity of all analyses
• Develop and implement data validation processes to maintain high-quality, reliable results
• Work closely with clinical teams, IT, and business units to understand their needs, provide analytical support, and help them make data-informed decisions