Member of Data Science Staff at Abridge in SF Office

Job description

About Abridge Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built AI for healthcare, Abridge connects patients, providers, payers, and life sciences companies. This year, the platform will support more than 100 million patient-clinician conversations across more than 300 of the largest and most complex health systems in the U.S. With deep workflow integration, the Abridge clinician intelligence platform has been validated to support encounters in 28+ languages across specialties and care settings. Abridge is setting the industry standard for the responsible deployment of Al across health systems with continual and transparent Al evaluation. Clinical decision support references and cites gold-standard sources of evidence, and features like Linked Evidence map AI-generated documentation to source data, helping clinicians quickly trust and verify the output. Abridge was awarded Best in KLAS for Ambient AI in 2025 and 2026, in addition to other accolades, including TIME Best Inventions of 2024 and 2025, CNBC Disruptor 2025, and Fast Company’s Most Innovative Companies 2025. We are a growing team of practicing clinicians, AI scientists, PhDs, creatives, technologists, and engineers working together to transform healthcare. We have offices located in San Francisco, New York, and Pittsburgh. The Role Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Senior Data Scientist to join our growing US-based Data Science team. Your work will be instrumental in driving product strategy, directly influencing how healthcare professionals engage with patient data. You’ll work across Abridge’s full product portfolio, partnering with product, engineering, science, commercial and finance teams to drive decisions with data. What You'll Do Extract meaningful insights and identify trends and patterns relevant to our business and product, by collecting, cleaning, and analyzing internal and external data. Ensure end-to-end visibility and understanding of our AI generation pipelines , from internal quality metrics to automated assessment in production. Investigate and correct issues identified through data operations monitors, tools, and reports. User Behavior Modeling: Identify user patterns and insights by analyzing user interactions, engagement metrics, funnel analysis, etc. for product improvement and feature development. It is critical for data to drive increased user engagement and retention. A/B Testing: Design and analyze A/B tests to evaluate the effectiveness of product features and design changes. AI model evaluation: Design and analyze metrics to evaluate our AI models, guide the team on gaps in evaluation processes, and drive solutions to improve measurable outcomes. Collaboration with Product Teams: Work closely with product managers, designers, and engineers to translate data insights into product priorities. Serve as a domain expert for the business context of our analytics data , sharing your understanding of the assumptions and limitations of our business metrics. Continually enhance our understanding of the business and product , by identifying and filling gaps in our data sources. This includes working closely with multidisciplinary teams such as product, engineering, partner success, and the executive team. What You'll Bring 8+ years using Python, R, SQL for analytics 5+ years in product-facing roles, driving product outcomes through A/B testing, defining aggressive project and company-level goals, and helping teams achieve them. Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2) Excellent communicator capable of effectively delivering quantitative findings