Clinical Trials Data and Technology Analyst
Brown University Health · United States · US
Clinical Data Science
Remote
Not yet analysed
Demand76
Career growth80
Healthcare fit82
Remote potential50
Salary band
USD 78k – 129k
5-year outlook
Likely durable within academic health systems as clinical trial data infrastructure and reporting needs grow; compensation should improve with demonstrated Snowflake, BI, programming, CTMS, and eReg experience, though exact pay varies by region, title, and seniority.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
full-time
Date found
2026-10-27
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering for clinicians with clinical research operations or informatics exposure plus data/BI skills who want an academic health system role supporting trial infrastructure. It is less suitable for clinicians without hands-on data systems, programming, or reporting experience.
Who should apply
Clinical research coordinators or clinicians with CTMS/eReg/REDCap/Epic experience; nurses, pharmacists, or physicians moving into research informatics; healthcare graduates with Power BI, Python/R, Snowflake, or data pipeline project experience.
CV angle
Frame real clinical research or healthcare operations work around data systems used, protocol/regulatory compliance, data quality checks, reporting deliverables, stakeholder collaboration, and technical training or vendor liaison. Emphasize any hands-on OnCore, eReg, REDCap, Epic, Power BI, Python/R, or Snowflake work without overstating technical depth.
Skills to highlight
- Clinical trial data systems (OnCore/eReg/REDCap)
- Data quality and completeness assessment
- Business intelligence and data visualization
- Data pipelines and data migration
- Python/R/PySpark programming exposure
- Snowflake/cloud data and API integration
- Cross-functional stakeholder collaboration
- Technical training and vendor liaison
Role summary
Academic health system clinical research informatics role managing CTMS, eReg, REDCap, and related applications while building data pipelines, reports, and business intelligence using Snowflake, APIs, Power BI, R, Python, and PySpark. Supports clinical trial data operations rather than direct patient care.
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