Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.
Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.
Joining the Huron team means you'll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.
Join our team as the expert you are now and create your future.
We are seeking an Analytics & AI Solutions Builder who can deliver end-to-end analytics and AI-enabled solutions for healthcare clients. This role is expected to use modern AI tooling (LLMs, copilots, agent frameworks) to transform our consulting delivery -accelerating speed to insights, improving quality, and enabling scalable client impact. You will own key building blocks including data curation pipelines, semantic definitions (metrics, dimensions, business logic), and AI agent context/instructions that make solutions accurate, trustworthy, and repeatable across engagements.
Key Responsibilities - Deliver end-to-end client solutions: lead work from discovery to data sourcing/curation, semantic layer definition, analysis/modeling, and productized delivery (apps, dashboards, reports, APIs, or workflows).
- Build with scale in mind: understand the difference between proof-of-concept work and guide ideas intentionally toward greater steps of maturity by building reusable patterns.
- Use AI to achieve leverage: apply our platforms tooling including LLMs and agentic workflows to speed up development (rapid prototyping, code generation/review, documentation, test creation) while applying rigorous validation and client-ready quality standards.
- Build and maintain data curation pipelines that produce analysis-ready datasets; ensure reliability, traceability, and clear data contracts aligned to client use cases.
- Define and govern semantic definitions (metrics, dimensions, cohorts, attribution logic) with client stakeholders to ensure consistent interpretation and reusability across products and accounts.
- Design agent context and instructions: create and maintain prompts, retrieval context, tool instructions, and guardrails so AI outputs are accurate, explainable, and aligned with client objectives.
- Partner closely with clients and product leadership to understand problems, frame solution options, present recommendations, and iterate rapidly based on feedback.
- Communicate clearly with technical and non-technical audiences: translate ambiguity into action, explain assumptions/limitations, and produce polished client-facing deliverables.
Required Qualifications - Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
- 3-5 years of experience developing analytics products/solutions in healthcare settings.
- Strong proficiency in Python and/or R.
- Strong knowledge of relational databases and experience designing and maintaining data pipelines.
- Demonstrated ability to use AI tools effectively (LLM assistants, prompt design, agent workflows, AI-assisted development) to increase throughput and quality.
- Self-starter comfortable with ambiguity, fast-paced iteration, and end-to-end ownership.
- Excellent collaboration and client-facing communication skills.
- Demonstrated ability to communicate complex technical ideas clearly and concisely, with strong attention to detail.
- Role is predominantly remote, with expectation of occasional travel for internal or client meetings.
- US work authorization required.
Preferred Qualifications - Experience with Snowflake, Databricks, or other modern cloud-based data platforms.
- Experience building solutions in Shiny, Streamlit, Quarto, and Rmd (preferred).
- Experience using Posit Connect or similar tools for deploying analytics products.
- Experience with LLM-enabled analytics workflows (e.g., RAG over structured/unstructured data, prompt/version management, evaluation/monitoring, governance).
- Recent healthcare consulting/analytics experience in a team-based professional services environment.
The estimated base salary range for this job is $100,000 - $130,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $112,000 - $153,400. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
Position LevelAssociate
CountryUnited States of America
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