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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).