Senior Research Data Scientist, Abridge
$188-240k
Offers equity
More information about location
3 days a week in office
Powering deeper understanding in healthcare through purpose-built AI
Be an early applicant
Powering deeper understanding in healthcare through purpose-built AI
101-200 employees
Be an early applicant
$188-240k
Offers equity
More information about location
3 days a week in office
101-200 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- 8+ years using SQL and Python or R for data science, including experience building or working closely with data pipelines and data infrastructure
- 3+ years of data science experience in academic or industry research settings where you contributed to research studies relying on complex data processing and analysis
- Comfort operating across the spectrum from data engineering to applied science — you can develop data pipelines and also conduct a rigorous evaluation study in collaboration with research scientists
- Experience with code-based data visualization tools (e.g., Seaborn, ggplot2)
- Demonstrated ability to conduct empirical evaluations using observational or experimental data, grounded in a rigorous quantitative or mixed-methods approach
- A problem-before-method mindset: you do not change the question to make it amenable to simple analysis, but instead push the methodological frontier to solve the real-world problems that matter to health systems, clinicians, and patients
- 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
What the job involves
- Abridge is hiring a Senior Research Data Scientist to join our Strategic Research team
- This role sits at the intersection of rigorous research, complex empirical data work, and deep cross-functional engagement with our commercial and builder organizations
- You will be the team's resident expert on the data assets, structures, and pipelines that underpin our research — operating flexibly across the boundaries of data engineering, data analysis, and applied science to ensure the team can move quickly and confidently from raw data to credible insight
- You will partner with research scientists to explore complex, messy real-world healthcare data: building and maintaining the data infrastructure the team depends on, developing and stress-testing metrics, conducting causal and descriptive analyses, and interrogating the assumptions embedded in our evaluation frameworks
- You will work at startup pace with research rigor, with a mandate to go beyond off-the-shelf metrics and analyses to ensure that our evaluations capture what truly matters to clinicians and patients — not just what is easiest to measure
- Equally important, you will translate complex analyses into clear, compelling narratives grounded in data, so that research insights inform product decisions, guide strategy, and help establish rigorous evidence for the real-world impact of ambient AI in healthcare
- The Strategic Research team at Abridge has two primary functions: (i) designing and conducting rigorous research studies investigating the impact of ambient AI as an intervention in partnership with collaborating health systems; and (ii) conducting health care research that leverages Abridge data, and supporting external research efforts to do the same
- In addition to driving and supporting empirical studies of the impact of ambient AI-enabled technologies, the team works closely with our Science and Engineering teams on core model evaluation
- The common thread to all our work is ensuring that every partner-facing research initiative meets the highest standards of rigour, credibility, and strategic value
- Conduct quantitative evaluations of Abridge models and products using data from real-world deployments, offline evaluations, and customer feedback
- Develop and validate metrics that reflect meaningful outcomes for providers and patients — including assessing construct validity, characterizing measurement error, and surfacing selection bias in observational signals like user ratings and feedback
- Design and execute analyses that address the team's core research questions: validating automated evaluation frameworks against human judgment, characterizing heterogeneity in adoption and usage trajectories, estimating causal effects of ambient AI on clinical and operational outcomes, and extracting structured characterizations of clinical practice from unstructured conversation data
- Build deep familiarity with existing metrics and evaluation frameworks used at Abridge and beyond, interrogating underlying assumptions and proposing alternatives where appropriate
- Develop and maintain deep expertise in Abridge's data assets — including production data, user feedback signals, and clinical conversation data — and serve as the team's authority on data provenance, structure, and limitations for research studies
- Build, extend, and maintain the data pipelines that support internal and external research efforts, working across raw data sources to produce clean, well-documented, research-ready datasets
- Collaborate with Data Engineering and platform teams to ensure that the data the research team needs is accessible, reliable, and well-understood
- Collaborate closely with product, engineering, science, and data teams to ensure evaluation and analysis are credible, decision-relevant, and grounded in a deep understanding of product development and integration
- Partner with commercial teams, and liaise with customers through relationships owned by our Partner Experience organization, to ensure measurement and evaluation reflect how products are used and experienced in real-world practice
- Translate complex analyses into clear, nuanced narratives grounded in data, tailoring communication to different audiences and contexts
- Produce technical analyses, reports, and presentations that inform product decisions, guide strategy, and contribute to a rigorous evidence base for the real-world impact of ambient AI in healthcare
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
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 43 more jobs at Abridge