Senior Data Scientist

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Atria Institute

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

🔬 Science

🤝 Non-profit

Healthcare Insurance • Science • Non-profit

Atria Institute is leading a movement towards proactive, preventive health care by integrating cutting-edge science and technology into medicine. Comprising the Atria Academy of Science & Medicine, a team of multidisciplinary experts, and the Atria Health Collaborative, a nonprofit organization, Atria seeks to transform health care delivery both locally and globally. The institute offers personalized, coordinated health care and predictive testing, focusing on advanced screening for diseases. Atria is dedicated to translating scientific research into real-time medical applications and implementing proven interventions for preventable diseases.

📋 Description

• Generate medical insights from Atria's longitudinal clinical data: surface early signals of disease, characterize how members respond to interventions, and identify population-level trends clinicians can act on. • Build forecasting models on clinical and operational signals: disease progression, biomarker trajectories, member engagement, demand and capacity planning, and other time-series problems. • Lead or contribute to operational analytics: visit patterns, throughput and scheduling, panel composition, vendor performance, member journeys, and the quiet efficiency questions that compound over a year. • Design and execute studies in partnership with clinicians: clear questions, well-controlled comparisons, honest error analysis, and writeups that hold up to clinical scrutiny. • Design and analyze experiments (A/B tests, staged rollouts, quasi-experiments) with appropriate attention to power, multiple comparisons, and the difference between "statistically significant" and "actually mattered". • Author and maintain curated views and dbt models in our Snowflake gold layer, documented well enough that clinicians and operational staff can use them confidently without a Slack DM to you every Tuesday. • Build dashboards and analytical tools in Omni Analytics that clinicians and operational leaders actually use to make decisions. • Partner with the AI Scientists and AI Engineers on the boundary where analytical work meets model training and production systems: contributing ground truth, evaluation datasets, and the clinical framing that keeps their models pointed at the right problem. • Translate clinical and operational questions into well-formed analytical problems, and translate results back into clear recommendations. The translation in both directions is most of the job.

🎯 Requirements

• A bias to deliver. You would rather have a clear answer to a real question in front of a clinician next week than a beautiful methodology that ships next quarter. • A scrappy streak. You can pick up an unfamiliar dataset, statistical method, or clinical concept on a Wednesday and have a credible first cut by Friday. • A serious drive to keep getting better. You read other people's analyses, papers, and code. You treat being wrong as cheap information rather than an event requiring counseling. • Experience in data science, analytics, or applied statistics: 5+ years, with at least 2 in healthcare, biomedical, or another regulated longitudinal-data domain. • Strong foundation in statistics and probability: you can defend a confidence interval, a regression specification, and a sensible forecasting baseline honestly. • Solid working knowledge of forecasting and time-series methods (classical and modern), regression modeling, and applied ML for tabular data (gradient boosting and related). • Familiarity with the design and analysis of experiments and quasi-experiments: enough to know when an A/B test is the right tool, when it isn't, and what to do about it. • Strong Python (pandas, scikit-learn, statsmodels, and at least one forecasting library) and SQL that you write without apologizing for. • Comfort with a cloud warehouse (Snowflake preferred) and modern data tooling such as dbt and a workflow orchestrator (Dagster, Airflow). • Track record of partnering with domain experts and turning their questions into defensible analytical work: clinicians, ops leaders, or comparable stakeholders. • Clear written and visual communication: tight executive summaries, defensible methods sections, and charts that have titles, axes, and a point. • Interest in healthcare and the responsibility that comes with working on data that affects patient care.

🏖️ Benefits

• Excellent health and wellness benefits, fully covered by Atria, effective date of hire • OneMedical membership for employees & dependents, giving access to 24/7 virtual care • Fertility & family planning • Company-covered preventive health screenings through partner hospitals (calcium score) • Fitness Perks, including Wellhub + • 401k contributions and 4% match starting after 6 months