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

As the Director of Data Science at Abridge you will be responsible for building a world-class data team, implementing a comprehensive data strategy that can help democratize data in the age of AI and use data to drive actionable insights. We’re looking for a leader who has high-agency, strong taste, and wants to make a high impact while growing our U.S. based team.

This role is crucial to our company as the data science team will serve as a central resource to provide insight and clarity while speeding up decision making. Your key cross-functional partners will include our Product, Engineering and Science teams, as well as our commercial and finance teams to ultimately help guide our decision making.

What You’ll Do

As the leader of our data science function, you’ll be responsible for:

Build and manage a world-class team of data scientists, providing guidance, mentorship and high standards while growing the team
Foster a high impact and collaborative team culture, focused on having agency, providing clarity of thinking to the organization and pride in authorship
Drive product strategy through data-driven insights across our growing product portfolio, including user behavior analysis, deep-dives into product performance metrics, causal inference experimentation
Partner with our product, strategy, and research teams to develop sophisticated ROI frameworks for our customers, ingesting real-time data and demonstrating impact
Collaborate with our world-class research team on models and model evaluation, including shaping our model evaluation frameworks, production performance monitoring, and defining quality metrics that matter clinically
Effectively communicate our data strategy, complex analyses and key insights to cross-functional partners including the executive team
Structure the company’s data strategy, working closely with our Data Engineering team to identify gaps in data sources, ingest internal & external data, and structure that data for optimal use across the company
Make critical technical infrastructure decisions for the data organization, including tooling choices, build vs buy tradeoffs for analytics platforms, and setting technical standards that enable the team to move fast without creating technical debt
Build the data science org of the future, incorporating the current and soon-to-come best practices in order to utilize AI to speed up data ingestion and insight generation

What You’ll Bring

MS or PhD in quantitative field (statistics, mathematics, computer science, physics, or related)
12+ years in data-science or analytics, especially in product-facing roles where you had to drive impact by using data to shape product strategy, goal setting and execution
Depth of experience using Python, R, SQL for large-scale analytics
Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
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.
A strong leader who is able to help build great teams, drive urgency in execution while ensuring we prioritize appropriately in a rapid growth environment

Bonus Points

Knowledge of healthcare settings, electronic health records (EHR), and healthcare billing
Experience diving into / shaping Analytics Engineering (recruiting & supporting)

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: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
Paid Parental Leave: Generous paid parental leave for all full-time employees.
Family Forming Benefits: Resources and financial support to help you build your family.
401(k) Matching: Contribution matching to help invest in your future.
Personal Device Allowance: Tax free funds for personal device usage.
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
Sabbatical Leave: 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.

Director, Data Science