Senior Research Data Scientist

About the role

Join Abridge, a high-growth startup in the healthcare AI space, as a Senior Research Data Scientist. In this role, you will be the team's expert on data assets, structures, and pipelines, and will partner with research scientists to explore complex healthcare data. You will conduct quantitative evaluations, develop and validate metrics, and design and execute analyses that address core research questions. You will also collaborate with various teams to ensure credible evaluation and analysis, and translate complex analyses into clear narratives for different audiences. Key missions: Conduire des évaluations empiriques des modèles et des produits d'Abridge en utilisant des données provenant de déploiements réels.. Développer et valider des métriques qui reflètent des résultats significatifs pour les prestataires et les patients.. Collaborer étroitement avec les équipes produit, ingénierie, science et données pour garantir que l'évaluation et l'analyse sont crédibles. Profile: - Demonstrated ability to conduct empirical evaluations using observational or experimental data, grounded in a rigorous quantitative or mixed-methods approach - A team player, comfortable assisting others across the organization in solving data problems and answering questions with data - A problem-before-method mindset: you do not change the question to make it amenable to simple analysis, but instead push the methodological frontier to solve the real-world problems that matter to health systems, clinicians, and patients - Comfort operating across the spectrum from data engineering to applied science — you can develop data pipelines and also conduct a rigorous evaluation study in collaboration with research scientists - 3+ years of data science experience in academic or industry research settings where you contributed to research studies relying on complex data processing and analysis - 8+ years using SQL and Python or R for data science, including experience building or working closely with data pipelines and data infrastructure - Experience with code-based data visualization tools (e.g., Seaborn, ggplot2) - Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion