Senior Data Scientist, Abridge
$181.9-214k
+ Equity
More information about location
3-5 days a week in office
Powering deeper understanding in healthcare through purpose-built AI
Open for applications
Powering deeper understanding in healthcare through purpose-built AI
101-200 employees
Open for applications
$181.9-214k
+ Equity
More information about location
3-5 days a week in office
101-200 employees
Company mission
To power a deeper understanding in healthcare.
Role
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)
- 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
- 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
What the job involves
- 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
- 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
Our take
Summarising key elements of healthcare conversations is crucial for both physicians and patients. Medical scribes, though effective, are costly, and the healthcare system faces funding and staffing crises. This has created a demand for more efficient notetaking solutions.
This is where Abridge comes in; it has developed a HIPAA-compliant AI platform that transcribes, structures, summarises, and provides insights from audio or transcripts of medical conversations. It claims to work across all specialities and offers patient-friendly summaries in easy-to-understand language.
Abridge aims to alleviate pressure on the healthcare system from the patient's perspective, a unique approach among healthtech startups. While companies like Inovia, DOUB, and DeepScribe focus on assisting physicians with medical transcription AI, they lack Abridge's patient-centric features, which are valuable in enhancing the patient experience. Its unique focus, then, is part of the reason why it enjoyed two impressive rounds of funding in 2025 alone.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
May 2025
$300m
SERIES E
Feb 2025
$250m
SERIES D
Total funding: $757.5m
Company benefits
- Unlimited PTO, plus 12 national holidays
- 16 weeks paid parental leave, for all employees
- Flexible working hours — we care more about what you accomplish than what specific hours you’re working
- Remote work environment
- Equity for all new employees
- Generous equipment budget for your home office setup ($1600)
- Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup
Company HQ
SoMa, San Francisco, CA
Leadership
Shivdev Rao
(CEO)Alongside their work as a practising Cardiologist at the University of Pittsburgh Medical Center, they also served as Physician Advisor in Residence and ultimately EVP at UPMC Enterprises; co-founded DocDok; and worked as a co-architect on a healthcare project at the Kauffman Foundation.
Sandeep Konam
(CTO)Completed an MS in Robotics at Carnegie Mellon, then served as Senior Product Manager at UPMC Enterprises. Has delivered guest lectures at Carnegie Mellon, Stanford, and the University of Pittsburgh.
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