Member of Data Science Staff

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 to non-technical stakeholders in a clear and compelling fashion. • Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning Bonus • Knowledge of healthcare settings, electronic health records (EHR), and healthcare billing are all a plus Must be willing to work from our SF or NYC office at least 3x per week This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you. Why Work at Abridge? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportun