This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Manager/SAS Programmer based in United States.
This is a senior technical leadership role supporting complex clinical, observational, and epidemiological research programs.
You will shape how research data is collected, managed, integrated, validated, and delivered throughout the full study lifecycle.
The role combines advanced SAS programming with data management strategy, quality oversight, automation, and technical leadership.
You’ll collaborate closely with data managers, programmers, statisticians, epidemiologists, investigators, and operations teams.
A key focus will be developing scalable, reproducible workflows that strengthen data integrity, efficiency, and research quality.
You’ll also mentor technical staff and establish consistent programming, validation, documentation, and data management practices across projects.
This remote opportunity offers meaningful work in health research alongside opportunities for innovation, professional development, and cross-disciplinary collaboration.
Accountabilities:
- Provide senior technical leadership and oversight for data management and programming activities across clinical, observational, and epidemiological research studies from study initiation through database closeout.
- Define technical approaches and study data strategies covering database architecture, data workflows, specifications, collection instruments, validation rules, integration processes, and delivery requirements.
- Design, develop, and oversee advanced SAS programming solutions for cleaning, transforming, validating, integrating, and managing complex research datasets.
- Build reusable and automated programming frameworks that improve efficiency, consistency, scalability, and reproducibility across research programs.
- Establish and oversee data quality and validation processes, including programmed checks, reconciliation, discrepancy resolution, QC procedures, and technical reviews.
- Lead the integration and reconciliation of data from multiple sources while maintaining data integrity, completeness, traceability, consistency, and appropriate documentation.
- Oversee the preparation and delivery of study datasets, reports, extracts, interim data cuts, and final data deliverables in accordance with study and organizational requirements.
- Develop standardized data management and programming practices covering automation, version control, documentation, reusable solutions, and continuous process improvement.
- Mentor and provide technical direction to data management and programming staff, including reviewing approaches, resolving complex issues, supporting prioritization, and reinforcing strong QC practices.
- Serve as a senior technical advisor to investigators, statisticians, epidemiologists, and operations teams, translating scientific and operational needs into effective data solutions.
- Contribute to organizational standards, SOPs, and best practices for research data management and programming while ensuring compliance with applicable study, regulatory, privacy, and data standards.
Requirements:
- Bachelor’s degree in Computer Science, Health Sciences, Statistics, Data Science, or a related field with 10+ years of progressively responsible experience in programming and data management for health research; alternatively, a relevant master’s degree with 8+ years of experience.
- Advanced SAS programming expertise, including extensive experience with DATA and PROC steps, macro programming, data transformation and integration, complex validation, and automated or reusable programming solutions.
- Extensive experience managing complex research data, preferably within clinical, observational, epidemiological, biomedical, or public health studies.
- Expert understanding of the complete research data lifecycle, including study start-up, database architecture, data collection, cleaning, reconciliation, QC, delivery, and closeout.
- Demonstrated ability to provide technical leadership for complex data management and programming initiatives, including defining approaches, evaluating solutions, identifying risks, prioritizing work, and ensuring high-quality deliverables.
- Strong experience integrating and reconciling data from multiple sources while maintaining data integrity, traceability, scalability, and reproducibility.
- Proven experience designing and implementing data quality and QC frameworks and identifying opportunities to improve quality and operational efficiency.
- Excellent leadership, communication, collaboration, and mentoring abilities, with the capacity to explain complex technical concepts to multidisciplinary teams and senior stakeholders.
- Familiarity with research data standards and regulatory frameworks such as NIH Common Data Elements, CDISC, OMOP, HIPAA, 21 CFR Part 11, GCP, and FAIR principles.
- Experience with at least two of the following is highly desirable: R, Python, SQL, database architecture and development, Git or other version control systems, APIs, and research workflow automation tools.
- Strong analytical and problem-solving skills, with the ability to work independently and provide sound technical judgment across complex research environments.
- Experience developing scalable, well-documented, and reproducible data workflows is strongly valued.
Benefits:
- $130,000–$175,000 USD annual base salary, with final compensation determined by experience, skills, geographic location, market conditions, and internal equity.
- Potential additional performance incentives and program-specific awards.
- Remote work opportunity.
- Medical, dental, and vision insurance.
- Supplemental life insurance with AD&D coverage.
- Short- and long-term disability benefits.
- Paid time off and parental leave.
- Flexible Spending Accounts.
- Legal services benefits.
- 401(k) retirement plan with company matching.
- Career development and professional training opportunities.
- Access to an e-learning platform for formal and informal development.
- Professional and technical certification preparation.
- Education assistance for eligible accredited programs.
- Commitment to reasonable workplace accommodations and equal employment opportunities.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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