AI or ML Engineer
Optum/UHG · Gurgaon, Haryana, India · US
Clinical Data Science
–
Pharmacist
Demand80
Career growth76
Healthcare fit62
Remote potential60
5-year outlook
Healthcare analytics and AI-adjacent roles are likely to remain in demand, with compensation generally competitive for candidates who combine SQL/Python/Power BI skills with healthcare data domain knowledge. Exact salary will depend on location, experience, and whether the role is hybrid or remote.
Clinical license
Not required
Applicant reach
moderate
Seniority
mid
Employment type
–
Date found
2026-10-23
Intelligence details
Flexible work details
- Eligible countries
- United States
- Profession fit
- Pharmacist
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering if you are a clinician with strong SQL, Python, Power BI, and healthcare data experience who wants a healthcare analytics/AI-adjacent role. It is less suitable for clinicians without prior analytics or data tooling experience because the technical and experience bar is meaningful.
Who should apply
Clinicians with informatics, quality improvement, research, or healthcare analytics experience; nurses or pharmacists who already use SQL/Python/Power BI; healthcare graduates with data analytics training; IMGs with technical analytics backgrounds seeking healthcare data roles.
CV angle
Frame clinical experience as healthcare domain expertise, not as direct patient care. Highlight quantified quality, operational, research, or informatics projects; SQL/Python/Power BI/Snowflake/Azure Data Factory exposure; experience with healthcare claims or operational data; stakeholder communication; and any GenAI/LLM/RAG or dashboarding work.
Skills to highlight
- SQL
- Python
- Power BI
- Snowflake
- Azure Data Factory
- healthcare data analytics
- GenAI/LLM/RAG exposure
- stakeholder communication
- data quality and documentation
Role summary
A healthcare analytics role at Optum/UHG that uses SQL, Python, Power BI, Snowflake, Azure Data Factory, and GenAI/LLM tools to analyze healthcare data, identify cost/quality/growth opportunities, and produce decision-ready insights for business and operational stakeholders. Despite the AI/ML Engineer title, the duties are closer to mid-level healthcare data analytics.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.