Truveta is looking to solve consequential problems in healthcare using an EHR database of 120 million patients and make an impact on patient care.
Requirements
- Experience 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 SQL, R and Python.
- Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
- Statistics
- Regression
- Propensity Score Matching
- Survival Analyses & Kaplan-Meier curves
- Spark/PySpark experience
Responsibilities
- Meet with customers to understand needs for technical analyses and for technical enablement.
- Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline.
- Collaborate with life sciences customers on analyses, helping them produce peer-reviewed publications.
- Communicate on the status of various projects and collaborate with success managers to ensure that Truveta clients can be successful with the platform.
- Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions.
- Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per customer request.
- Create enablement materials as the Truveta platform evolves to help onboard new researchers to our increasing capabilities.
Other
- Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field.
- 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.
- Great benefits package
- Comprehensive benefits with strong medical, dental and vision insurance plans
- 401K plan
