Truveta
Customer Facing Research Analyst
Seattle, WA · Senior
Sponsorship not specifiedDetected 34 days ago
PythonSQLData ScienceStatisticsProduct ManagementExcelCustomer SupportEHR/EMRClinical TrialsClinical ResearchResearchExperimental DesignBiostatisticsEpidemiology
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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Achieving Truveta's ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
- Truveta was born in the Pacific Northwest, but we have employees who live across the country.
- Our team enjoys the flexibility of a hybrid model and working from anywhere.
Responsibilities
- 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.
- Lead customer-facing discussions to unblock research challenges and drive projects forward
- 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.
- Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
Requirements
- 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.
- Strong proficiency in SQL, R and/or Python for statistical analysis
- Strong understanding of real-world evidence principles, including bias, confounding, and study design considerations.
Nice to have
- These qualifications are preferred but not required.
Compensation
- In person attendance is required at least once per year for an onsite meeting.
Benefits
- 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.
- 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.
- Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data.
- Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges.
Company info
- Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care.
- Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference.
- Partner closely with life sciences customers to understand research questions and translate them into analytical approaches
- Guide customers on best practices in real-world data research, including study design tradeoffs and interpretation of results
- Collaborate with customers to support peer-reviewed publications and high-quality research outputs
- Experience delivering high-quality product demonstrations that enable customers or stakeholders to understand and effectively leverage data, platform capabilities, and analytical workflows.
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This listing is sourced directly from Truveta's careers page and normalized into a canonical job model.