7 часов назад
Lead Data Manager/SAS Programmer (SAS)
130 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Manager/SAS Programmer (SAS/Clinical Research): Designing and overseeing data management systems, SAS programming solutions, and automated workflows for clinical, observational, and epidemiological research studies with an accent on data quality, integration, validation, and reproducibility. Focus on building scalable programming frameworks, reconciling multi-source research data, and providing technical leadership across the full study data lifecycle.
Location: United States - Remote
Salary: $130,000–$175,000 yearly
Company
delivers science research, systems engineering, digital transformation, and health and national security readiness solutions for federal and commercial programs.
What you will do
- Provide senior technical leadership for data management and programming across clinical, observational, and epidemiological research studies.
- Define database architectures, data workflows, specifications, collection instruments, validation rules, integration processes, and delivery requirements.
- Design and oversee SAS programs and reusable automated frameworks for cleaning, transforming, validating, integrating, and managing research data.
- Establish data quality, reconciliation, discrepancy resolution, and quality control processes across the full study lifecycle.
- Oversee study datasets, reports, extracts, interim data cuts, and final data deliverables.
- Mentor data management and programming staff and collaborate with investigators, statisticians, epidemiologists, and operations teams.
Requirements
- B.S. degree in computer science, health sciences, statistics, data science, or a related field with 10+ years of relevant experience, or an M.S. degree with 8+ years of experience.
- Advanced SAS programming skills, including DATA and PROC steps, macro programming, data transformation, integration, validation, and automation.
- Extensive experience managing complex clinical, observational, epidemiological, biomedical, or other research data.
- Experience with research data lifecycle management, multi-source data integration, reconciliation, data quality, QC frameworks, and technical oversight.
- Familiarity with NIH Common Data Elements, CDISC, OMOP, HIPAA, 21 CFR Part 11, GCP, and FAIR principles.
- Strong leadership, communication, collaboration, and mentoring skills.
Nice to have
- Experience with two or more of R, Python, SQL, database architecture and development, Git or other version control systems, APIs, and scalable research data workflow tools.
Culture & Benefits
- Remote work for the United States-based role.
- Personal time off, medical, dental, vision, life, disability, and parental leave benefits.
- Flexible spending accounts, legal services, and a 401(k) retirement plan with matching.
- Training, e-learning, professional and technical certification preparation, and education assistance.
Hiring process
- Interview process designed to maintain a fair and authentic candidate experience.
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