Senior Data Scientist

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 SoHo neighborhood of New York, the Mission District in San Francisco, and Lawrenceville 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.

Who You Are

• 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 

Base Salary: $184,500 USD - $225,750 USD per year + Equity

The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco Bay area. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.

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 (3) 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.

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 driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.

Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.

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!

Diversity & Inclusion

Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).

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.