North AmericaFull TimeSoftware Development
Remotely
pythonsqlrdata managementdatasasmacroproc
Job Description
📋 Description
- Lead data management for clinical, observational, and epidemiological studies from start-up to
- Design and maintain study databases, data collection instruments, rules, and data transfer
- Perform advanced SAS programming to clean, transform, validate, and manage complex datasets; create
- Develop data quality procedures, reconciliation, and independent QC of datasets and programs.
- Integrate data from multiple sources with documentation for traceability.
- Lead data processing programs and automated workflows for efficiency and scalability.
🎯 Requirements
- Bachelor’s in Computer Science, Health Sciences, or related field with 7+ years in health research
- Advanced SAS programming expertise: DATA/PROC steps, macro programming, data transformation
- Experience managing complex research data in clinical/epidemiological contexts; strong lifecycle
- Strong QC mindset, documentation, and collaboration skills; ability to mentor staff.
- Proficiency with R, Python, SQL, database architecture, Git, APIs; experience with scalable data
- Familiar with NIH CDEs, HIPAA, 21 CFR Part 11, GCP, and FAIR principles is desirable.
🎁 Benefits
- Base salary range: $110,000–$140,000 per year.
- Potential performance incentives and program-specific awards.
- Remote work opportunity.
- Paid PTO, health benefits, flexible spending accounts, parental leave, retirement plan with
- Career development and access to e-learning platforms.