Truveta is looking to solve consequential problems in healthcare using an EHR database of ~120 million patients (and growing!), while positively impacting patient outcomes.
Requirements
- Experience working with large relational database consisting of millions of patients' records.
- Experience building dashboards, benchmarks, or metrics to achieve measurable improvement in health system operations, quality outcomes, or population health.
- 2+ years of experience wrangling and analyzing EHR data or other real-world data sources using SQL, R and Python.
- Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, RxNorm, or NDC.
- A willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
- Experience translating healthcare and operational concepts into analytic workflows.
- Experience working with unstructured clinical data, natural language processing outputs, or AI/ML tools
Responsibilities
- Develop iconic analytic outputs (studies, dashboards, benchmarks) that demonstrate Truveta’s unique value and inspire members to replicate, customize, and apply insights to address common, high-priority health system challenges.
- Wrangle large-scale healthcare datasets and build reproducible queries using SQL, R, and/or Python to scope analytic use cases, assess feasibility, and deliver studies and dashboards within agreed timelines, while developing subject matter expertise in Truveta’s proprietary coding language and analytics platform.
- Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic output that showcase Truveta’s differentiated capabilities and highlight how Truveta can impact healthcare’s mission and margin objectives.
- Collaborate closely with cross-functional teams to validate data quality, investigate issues, and provide feedback that informs Truveta’s product roadmap.
- Use AI thoughtfully and strategically to spark new ideas and tackle problems. Apply AI to speed feedback loops, test hypotheses, and deliver insights faster, while balancing judgment, creativity, and an awareness of its limitations.
Other
- Undergraduate or graduate (preferred) education in data analysis, clinical informatics, epidemiology, public health, or a related field.
- Strong communication skills to present insights and results to both technical and non-technical audiences.
- Ability to learn and adapt quickly in a dynamic start-up environment.
- Must be authorized to work in the United States for any employer
- Participation in Truveta Planning Week for one week during the year
