Ophelia

Data Scientist

• Build, validate, and ship predictive and statistical models for demand and clinical-capacity forecasting, no-show and retention risk, and outcome and risk prediction
• Design and analyze experiments and quasi-experiments to measure causal impact
• Collaborate with Analytics Engineering and Technology teams to deploy models in BigQuery, dbt, and Dagster pipelines
• Implement continuous monitoring, retraining, and drift detection for production models
• Translate open clinical and operational questions into rigorous, well-scoped analyses
• Partner with Clinical, Commercial, and Business Operations to identify opportunities and communicate results in plain language
• Serve as the subject-matter expert for statistical and machine-learning methods
• Help shape responsible and effective AI-augmented workflows across the Technology team
• Report to the Senior Director of Data and work as a peer to analysts and analytics engineers

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General

• Facilitate patients’ first contact and enrollment in Ophelia.
• Guide prospective patients through the first steps of Ophelia’s program.
• Help prospective patients overcome initial barriers to treatment.
• Use data to track enrollment and explore opportunities for growth.
• Engage new patients in care through direct outreach, including cold calling.
• Respond to referrals and triage prospective patients.
• Engage, assist, and usher prospective patients into the program.
• Re-engage prospective patients who may have fallen out of contact.
• Represent Ophelia’s mission as a member of the Enrollment Team.

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Enrollment Coordinator

Product Analyst

• Lead experimentation across all product squads, including hypothesis development, test sizing and design, monitoring, and readouts
• Design and maintain product metrics, success metrics, guardrails, and leading indicators
• Validate metric health and build trusted Lightdash dashboards
• Deliver deep-dive analyses of patient and clinician behavior, including funnels, engagement, retention, and outcomes
• Apply quasi-experimental methods when randomized testing is not possible
• Share outcomes and learnings with squad teams, leadership, and large-format meetings
• Translate complex analyses into clear stories and actionable recommendations
• Combine quantitative analysis with FullStory sessions, user research, and feedback to maintain a patient-centered focus
• Partner with the Data Council, Data Analysts, and Analytics Engineers to improve instrumentation, data quality, shared definitions, and analytics tooling
• Stay current with product analytics and experimentation trends, methods, and best practices
• Report to the Manager of Product Management and support all three product squads across Technology

Explore Product Analyst III at Ophelia. Review requirements and application details.

Open roles

Data Scientist

Enrollment Coordinator

Product Analyst III