Healthcare Data Analyst – Consultant; Remote

Who We Are

Founded in 2021 through a collaboration between Mayo Clinic, Rally Ventures, and Commure (a General Catalyst company), Lucem Health is on a mission to revolutionize healthcare delivery with the practical application of clinical AI. We empower healthcare organizations to detect diseases at an earlier stage and identify patients who are undiagnosed, ultimately improving outcomes and optimizing limited clinical resources. We envision a future where proactive care enables problems to be detected before they become life threatening and patients get world class care, everywhere.

We are focused on helping providers deliver more proactive care by accelerating diagnosis and treatment. To do so, we’ve built a platform that connects patient data from varied sources with powerful, clinically focused AI algorithms and other advanced tools. We deliver the insights generated by these tools seamlessly into clinical workflow: to the right stakeholder, in the right place, in the right context, at the right time.

We help clinicians and other stakeholders engage with, understand, trust, and adopt these tools so they see them as valuable partners that support better care and outcomes for patients.

We leverage this platform – Lucem Health Reveal – to deliver AI-enabled solutions, targeted at specific diseases, that deliver distinct and measurable clinical value propositions and financial benefits to our provider customers.

Lucem Health’s Insights is an advanced analytics platform designed to help our life science partners refine provider outreach, optimize reimbursement strategies, and capture a larger share of a growing market. It leverages real-world patient data to give insight into diagnostic and treatment pathways across populations of patients.

As a Healthcare Data Analyst, you will play a critical technical role in designing and building the Insights product, working in close collaboration with Product Management and our physicians. Your expertise will be essential in gathering, analyzing, and incorporating market intelligence and direct customer feedback to refine the tool’s functionality and ensure its relevance. Through clinical research, you will compile requirements for life sciences customers supporting the development of Insights, Reveal, and other AI-driven solutions.

The goal is to ensure these tools effectively address customer needs and provide meaningful clinical insights that drive market impact. You will write and maintain Metabase Reporting and custom SQL to power Life Sciences reporting and Insights features.

This position is remote. As a remote work force that meets face‑to‑face occasionally to do collaborative work, this position will require occasional travel to Raleigh or Charlotte, North Carolina, New York, New York, or to other cities where there is, or will be, a critical mass of Lucem employees.

This position is a contract position. We do see potential for permanent placement in the future but not at this time.

• 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, andmaintaindisease 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 andmaintaincustomer-facing metric specifications, data dictionaries, and reporting documentation to ensure consistent interpretation across stakeholders.
• Develop and support
  
  MetaBasedashboards 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…