Senior Data Scientist
Company: Abridge
Location: San Francisco
Posted on: April 14, 2025
Job Description:
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 RoleOur 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
DoData 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.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 & InclusionAbridge 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 fraudWe 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 . Please
exercise caution and cease communications if something feels
suspicious about your interactions.
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Keywords: Abridge, Santa Clara , Senior Data Scientist, Accounting, Auditing , San Francisco, California
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