Senior Data Scientist

About Abridge

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in 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