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. This Partner Data Analyst position is a high impact, customer-facing role that requires a diverse set of skills spanning technical execution, applied research methodology, and relationship management.
Responsibilities
- Partner closely with life sciences customers to understand research questions and translate them into analytical approaches
- Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting customer analysis
- Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline
- Build strong, trusted relationships with customer stakeholders, acting as a key partner in advancing their research goals
- Apply appropriate research methodologies, including cohort design, bias mitigation, and statistical analysis
- Communicate on the status of various projects and collaborate with success managers to ensure that Truveta clients can be successful with the platform
- Guide customers on best practices in real-world data research, including study design tradeoffs and interpretation of results
- Lead customer-facing discussions to unblock research challenges and drive projects forward
- Collaborate with customers to support peer-reviewed publications and high-quality research outputs
- Deliver both rapid-response analyses and deeper, in-depth investigations depending on customer needs
- Provide technical support and troubleshooting for customer analyses, code, and notebooks
- Create enablement materials as the Truveta platform evolves to help onboard new researchers to our increasing capabilities
- Collaborate cross-functionally to investigate data quality and demonstrate data reliability
- Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap
Skills
- Undergraduate or graduate degree in clinical research, epidemiology, biostatistics, data science, clinical informatics, or a related field
- 5+ years of experience working in a technical customer-facing role, delivering high-quality research studies & analyses
- 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 organizations
- Strong proficiency in SQL, R and/or Python for statistical analysis
- Experience working across large, multi-domain healthcare datasets with millions of patients and hundreds of millions of records, leveraging distributed computing frameworks for scalable analysis
- Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts
- Strong understanding of real-world evidence principles, including bias, confounding, and study design considerations
- Demonstrated experience applying research methodologies, including cohort design and statistical approaches
- Experience delivering high-quality product demonstrations that enable customers or stakeholders to understand and effectively leverage data, platform capabilities, and analytical workflows
- Proven ability to learn, adapt, and independently drive multiple projects forward in a fast-paced, start-up environment
- Strong executive presence with the ability to build credibility and trust across stakeholders and effectively communicate complex technical concepts to both executive and technical audiences
- Advanced degree (MS, MPH, PhD) in epidemiology, biostatistics, health economics, or related field
- Experience supporting or contributing to peer-reviewed publications or conference abstracts
- Knowledge of advanced statistical methods such as regression, propensity score methods, survival analysis, and longitudinal data analysis
- Experience applying methods for causal inference or handling incomplete data in observational research
- Experience with Spark/PySpark or distributed data processing
- Experience with Regression, Propensity Score Matching, Kaplan-Meier Analyses, or Survival Analyses
- Experience working in customer-facing or consulting-style roles
- Demonstrated ability to present research findings to both technical and non-technical audiences
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)
- Certain roles are eligible for additional compensation such as incentive pay and stock options
Company Overview