AI product analyst in healthcare

At MEDvidi, the Automation team builds and operates a mix of AI and conventional product features that automate clinical and operational workflows - from AI-drafted medical documentation to automated resolution of patient issues, intake verification flows, provider tooling, and the backend pipelines behind them. We free clinicians and operations from manual work a machine can do reliably and safely, in a domain where mistakes have real clinical and compliance consequences.

• Own the full product analytics stack for features the team ships - discovery and sizing, experiment design and analysis, funnel and adoption analysis, post-release impact assessment - across both AI-powered and conventional product features.
• Analyze production behavior of AI and automation workflows across clinical and operational journeys.
• Investigate hallucinations, silent failures, and quality degradation in AI-generated output.
• Work directly with logs, transcripts, generated artifacts, and operational data to find patterns dashboards miss.
• Design evaluations for AI quality - both automated and human review - and close the loop into prompt and product changes.
• Build monitoring and dashboards for AI and automation health, and the operational metrics they roll up to.
• Measure business and operational impact of automation initiatives and surface the risks they introduce.
• Partner closely with Product, Engineering, Clinical, MedOps, and Legal to support fast decisions under ambiguity.

• 5+ years of experience in Product Analytics/Operational Analytics/Data Analytics, or analytics roles within complex production systems.
• Understanding of AI, ML, and LLM systems.
• Effective, structured written and verbal communication - able to turn analysis into crisp, decision-ready writeups that non-analysts can act on.
• Comfort in ambiguous, fast-changing environments where ground truth often has to be constructed.
• Strong product / operational analytics background, comfortable owning metrics end-to-end and writing SQL and Python code against messy production data.
• Fluent Russian; English level B2 or higher,
• Ability to work CET-overlapping hours in a B2B format.
• Будет плюсом: Hands-on experience evaluating LLM or AI output - prompt iteration, eval frameworks and human review pipelines is a strong plus; Experience evaluating LLM outputs or AI systems; Previous experience in Data Science or Machine Learning

• High-impact environment: A chance to influence how AI is used in real patient interactions.
• Growth & compensation: Competitive compensation and clear growth opportunities.
• Remote-first: Fully remote, long-term B2B collaboration.
• Health & wellness: Health insurance after the probation period, plus sports & wellness compensation.
• Career development: Career growth, including personalized English lessons via Preply.
• Time off: 19 working days of vacation per year, 4 additional wellness days, and paid sick leave for the first 5 working days.
• Culture: Thoughtful gifts for important life events.