The board
- Where
- Seattle, WA
- Posted
- Sep 9
Customer Facing Research Analyst
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. 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. 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. In person attendance is required at least once per year for an onsite meeting.
For overall team productivity, we optimize meeting hours in the pacific time zone.
What you'd do
- 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
What they want
- 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.