Job Description
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Role Description
- This Customer Facing Research Analyst position is a high impact, challenging role that requires a diverse set of skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-world Electronic Health Record (EHR) data.
- 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.
- Provide technical analytics support and directly work with customers on calls to troubleshoot customer analysis.
- 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.
- Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers.
- Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.
- Qualifications
- Undergraduate or graduate level education in clinical research, data analysis, clinical informatics or related field.
- Experience working with large databases 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.
- 2+ years experience working with customers to deliver high quality research analyses.
- Ability to learn and adapt quickly in a dynamic start-up environment.
- Requirements
- Regex query writing experience.
- Statistics.
- Regression.
- Propensity Score Matching.
- Kaplan-Meier Analyses.
- Survival Analyses.
- Spark/PySpark experience.
- Benefits
- 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).
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