Truveta-posted 3 months ago
$105,000 - $130,000/Yr
Full-time • Entry Level
Seattle, WA
251-500 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta's ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time.

  • 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.
  • Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic output that showcase Truveta's differentiated capabilities.
  • 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.
  • Undergraduate or graduate (preferred) education in data analysis, clinical informatics, epidemiology, public health, or a related field.
  • 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.
  • 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.
  • Experience working with unstructured clinical data, natural language processing outputs, or AI/ML tools.
  • Knowledge of distributed computing platforms (Spark) and associated data analysis languages (Spark SQL, PySpark, SparkR).
  • Experience building cohort definitions, defining metrics, and interpreting analytic findings.
  • Interesting and meaningful work for every career stage.
  • Great benefits package.
  • Comprehensive benefits with strong medical, dental and vision insurance plans.
  • 401K plan.
  • Professional development & training opportunities for continuous learning.
  • Work/life autonomy via flexible work hours and flexible paid time off.
  • Generous parental leave.
  • Regular team activities (virtual and in-person as soon as we are able).
  • The base pay for this position is $105,000 to $130,000.
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