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.