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Senior Data Scientist
Senior Data ScientistAbridge • San Francisco, CA, United States
Senior Data Scientist

Senior Data Scientist

Abridge • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

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 & BI team. Your work will be instrumental in driving product strategy, directly influencing how healthcare professionals engage with patient data.

What You\'ll Do

Data Analysis and Insight Generation

  • 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.

Advanced Data Modeling

  • 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.
  • Cross-Functional Leadership and Collaboration

  • 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)
  • Data Advocate

  • Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.
  • A team player, comfortable assisting others across the organization in solving data problems and answering questions with data
  • Ability to prioritize amidst changing priorities in a fast moving environment
  • Domain-relevant Knowledge

  • Knowledge of healthcare settings, electronic health records (EHR), and healthcare billing are all a plus
  • Experience with common approaches to measure and drive user engagement is a plus
  • Must be willing to work from our SF 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 three times per week. Relocation assistance is available for candidates willing to move to San Francisco.

    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 opportunities, we are here to help you thrive and do the best work of your life.

    If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.

    How we take care of Abridgers :

    Generous Time Off : 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.

    Comprehensive Health Plans : Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA.

    Paid Parental Leave : 16 weeks paid parental leave for all full-time employees.

    401k and Matching : Contribution matching to help invest in your future.

    Pre-tax Benefits : Access to Flexible Spending Accounts (FSA) and Commuter Benefits.

    Learning and Development Budget : Yearly contributions for coaching, courses, workshops, conferences, and more.

    Sabbatical Leave : 30 days of paid Sabbatical Leave after 5 years of employment.

    Compensation and Equity : Competitive compensation and equity grants for full time employees.

  • ... and much more!
  • Equal Opportunity Employer

    Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

    Staying safe - Protect yourself from recruitment fraud

    We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and / or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an "@abridge.com" email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.

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