Data & Analytics Specialist - Healthcare Analytics

Overview

Location:

Boston, Chicago, Houston, Los Angeles, New York, San Francisco

L.E.K. Consulting is one of the premier strategy consulting firms worldwide. At L.E.K., we are passionate about helping our clients succeed with breakthrough insights that drive real impact. Our clients view us as trusted partners that help address their most pressing challenges and biggest opportunities. We bring together the rigor of data-driven analysis with the creativity and curiosity of a collaborative team.

By hiring exceptional people and fostering a culture of ownership, inclusion, and continuous learning, we develop leaders who thrive on challenge and bring energy and optimism to every engagement. Founded in 1983, L.E.K. employs more than 2,200 professionals across five continents, and is consistently recognized as one of the industry’s best firms to work for. For more information, visit

We are seeking a Data & Analytics Specialist to support the execution and delivery of L.E.K.’s Real World Data (RWD) products and solutions, and future data and analytics offerings. This high-impact role will work within our growing Data & Analytics (D&A) team and collaborate with the Life Sciences and Healthcare sectors to deliver high-quality, insight-driven solutions built on robust methodology and reproducible analytics.

You will serve as a bridge between strategy consulting, analytics, and technology
, delivering cutting-edge RWD analytics to internal stakeholders and external clients alike. You will work on analytically challenging problems such as identifying undiagnosed or misdiagnosed patient populations, mapping patient journeys across complex care pathways, and quantifying healthcare utilization and spend across settings of care. The role also involves building and applying predictive and machine learning models to support segmentation, forecasting, and scenario analysis using large-scale healthcare datasets.

Across projects, you will turn complex, real-world data into clear, robust insights that directly inform high-stakes strategic decisions for healthcare and life sciences clients.

The Real-World Data (RWD) team at L.E.K. turns complex healthcare datasets into rigorous, decision-ready evidence for life sciences and healthcare clients. The team designs and executes a broad range on analytics using real-world data (e.g., claims, electronic health records, registries) to inform strategic and operational decisions across the healthcare ecosystem, applying epidemiology, biostatistics, and causal inference methods. Team members work end to end, from study design and data engineering through analysis, interpretation, and clear communication of insights to senior client stakeholders.

Analytical Execution & Delivery (70% of time)

• Serve as the primary execution lead for RWD analyses in client engagements across healthcare and life sciences sectors, spanning methodology design, data preparation, analysis, and interpretation
• Act as SME across common RWD use cases such as market sizing, patient journey analysis, health outcomes research, and descriptive and predictive analytics
• Translate client questions and problem statements into clear analytical approaches, assumptions, and outputs
• Produce client-ready outputs, including tables, exhibits, and written interpretations that clearly communicate analytical findings
• Ensure analytical work meets the highest quality standards, including reproducibility, documentation, and methodological soundness

Project Support & Integration (15% of time)

• Contribute to analytical discussions with clients and consulting teams, including walkthroughs of methodology, assumptions, limitations, and interpretation of findings
• Participate in proposals and client development efforts through analytical input, sample outputs, and methodological descriptions
• Support scoping and planning of RWD analytics work streams by estimating effort, defining data requirements, and identifying methodological considerations
• Act as a day-to-day analytical point of contact for assigned projects, coordinating inputs and timelines with consulting teams

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