About the job
About Abridge
Abridge, established in 2018, is dedicated to enhancing understanding within the healthcare sector. Our innovative AI-driven platform is specifically designed for medical dialogues, streamlining clinical documentation processes while allowing clinicians to prioritize what truly matters—their patients.
Our enterprise-level technology converts patient-clinician interactions into structured clinical notes in real-time, seamlessly integrated with electronic medical records (EMRs). With our Linked Evidence and uniquely auditable AI, we are the sole provider that aligns AI-generated summaries with ground truth, enabling healthcare providers to quickly trust and verify the information produced. As trailblazers in generative AI for healthcare, we are setting the benchmark for the ethical use of AI across health systems.
We comprise a diverse and expanding team of practicing MDs, AI experts, PhDs, creatives, technologists, and engineers all committed to empowering individuals and simplifying care. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.
The Role
Our generative AI-driven products are transforming the medical field, and we are seeking a highly driven Senior Data Scientist to become a vital part of our expanding US-based Data Science & BI team. Your contributions will significantly shape product strategy and directly affect how healthcare practitioners interact with patient data.
What You'll Do
Data Analysis and Insight Generation
- Extract valuable insights and recognize trends and patterns pertinent to our business and product by gathering, cleaning, and analyzing both internal and external data.
- Maintain comprehensive visibility and comprehension of our AI generation pipelines, from internal quality metrics to automated evaluations in production.
- Investigate and rectify issues identified through data operations monitors, tools, and reports.
Advanced Data Modeling
- User Behavior Modeling: Analyze user interactions, engagement metrics, and funnel analyses to identify patterns and insights for product enhancement and feature development. Data-driven approaches are crucial for boosting user engagement and retention.
- A/B Testing: Design and interpret A/B tests to assess the efficacy of product features and design modifications.
- AI Model Evaluation: Evaluate and enhance AI models to ensure superior performance and accuracy.

