Note: The job is a remote job and is open to candidates in USA. Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. The Solutions Analyst position is a high impact role that involves using technical skills to analyze healthcare data and support strategic engagements with Life Sciences partners.
Responsibilities
- 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
- Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting 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
Skills
- Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field
- Experience is 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
- 2+ years experience working with life science customers to deliver high quality research analyses
- Ability to learn and adapt quickly in a dynamic start-up environment
- Regex query writing experience
- Statistics
- Regression
- Propensity Score Matching
- Kaplan-Meier Analyses
- Survival Analyses
- Spark/PySpark experience
Benefits
- 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)
Company Overview