Truveta
Real World Data Analyst (Contractor)
Seattle, WA. Posted 2 months ago
The role
You will use SQL, R, and Python to scope analysis requests and produce studies using an EHR database of 120 million patients. You will collaborate with stakeholders on analyses and produce peer-reviewed publications.
What you will do
- Use technical skills to scope out analysis requests, produce studies and results using SQL, R and Python within an agreed upon deadline.
- Collaborate with internal stakeholders on analyses, producing peer-reviewed publications.
- Provide technical analytics support.
- Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per customer request.
- Create enablement materials to help onboard new researchers.
- Collaborate closely with other Truveta teams to conduct investigations of data sources.
Required qualifications
- Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field.
- Experience in working with large database consisting of millions of patients' data.
- 3+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQ, R and Py
- Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
- 2+ year’s experience working with customers to deliver high quality research analyses.
- Ability to learn and adapt quickly in a dynamic start-up environment.
Nice to have
- Regex query writing experience
- Statistics
- Regression
- Propensity Score Matching
- Kaplan-Meier Analyses
- Survival Analyses
- Spark/PySpark experience
Before you apply
- All applicants must be authorized to work in the United States for any employer.
- Unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time.
About the company
Truveta transforms healthcare into intelligence. Built with and owned by US health systems, it powers discoveries, regulatory data, and AI to improve patient care.