Senior Research Data Scientist

Contenido del rol extraído en secciones para revisar más rápido.

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

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

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!

Roles similares