Senior Data Manager/SAS programmer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Manager/SAS Programmer based in the United States.

This role offers the opportunity to contribute to federally and commercially funded clinical, observational, and epidemiological research programs.
You will combine advanced SAS programming with senior-level data management expertise to support studies across their full data lifecycle.
From database design and data collection through validation, reconciliation, reporting, and closeout, your work will help ensure research data is accurate and fit for purpose.
You will design scalable workflows, automate complex data processes, and establish rigorous quality assurance practices that strengthen data integrity.
Working alongside data managers, programmers, epidemiologists, and operations professionals, you will contribute to multidisciplinary research initiatives with meaningful public health impact.
The role also provides opportunities to mentor colleagues, introduce technical improvements, and help shape efficient research data practices.
It is an excellent fit for an experienced SAS professional who combines technical depth, analytical thinking, leadership, and meticulous attention to detail.

Accountabilities:

• Lead data management activities for clinical, observational, and epidemiological research studies from study start-up through database closeout, ensuring data is complete, accurate, traceable, and fit for purpose.
• Design, develop, and maintain study databases, data collection instruments, validation rules, data specifications, cleaning procedures, and data transfer processes.
• Perform advanced SAS programming to clean, transform, validate, integrate, and manage complex research datasets while developing efficient, reusable, and automated programming solutions.
• Develop and execute data quality and validation procedures, including programmed data checks, reconciliation, discrepancy resolution, and independent quality control of datasets, programs, and deliverables.
• Integrate and reconcile data from multiple sources while documenting data transformations, decisions, and processes to maintain consistency and traceability.
• Develop and maintain study datasets, reports, extracts, interim data cuts, and final data releases for investigators, statisticians, and other research stakeholders.
• Lead the design and implementation of complex data processing programs and automated workflows that improve efficiency and scalability.
• Provide technical leadership and mentorship to data management and programming staff, including work planning, risk identification, technical guidance, and promotion of consistent programming and QC practices.
• Collaborate with multidisciplinary teams to ensure study activities comply with applicable requirements, organizational SOPs, privacy standards, regulatory expectations, and established data management practices.
• Identify opportunities to improve data workflows, automation, quality controls, and programming standards across research programs.

Requirements:

• Bachelor’s degree in Computer Science, Health Sciences, or a related field with 7+ years of programming and data management experience in health research , or a master’s degree in a related field with 5+ years of relevant experience .
• Advanced SAS programming expertise, including extensive experience with DATA and PROC steps, macro programming, data transformation and integration, complex validation, and reusable programming solutions.
• Demonstrated experience managing complex research data, preferably within clinical, observational, epidemiological, biomedical, or public health studies.
• Strong understanding of the complete research data lifecycle, including database development, data collection, cleaning, reconciliation, quality control, delivery, and database closeout.
• Experience integrating and reconciling data from multiple sources and resolving complex data issues while maintaining integrity, traceability, and appropriate documentation.
• Ability to independently lead complex data management and programming initiatives, define technical approaches, manage competing priorities, identify risks, and deliver high-quality work on schedule.
• Strong quality assurance mindset and exceptional attention to detail, with experience developing QC procedures and independently reviewing data, code, datasets, and technical deliverables.
• Excellent communication and collaboration skills, with the ability to explain technical concepts to multidisciplinary audiences and provide guidance to less experienced professionals.
• Experience with additional technologies such as R, Python, SQL, database architecture and development, Git/version control, APIs , or related tools for scalable and automated data workflows is highly desirable.
• Familiarity with clinical research data standards and regulations such as NIH Common Data Elements, HIPAA, 21 CFR Part 11, GCP, or FAIR principles is highly desirable.
• Strong analytical, organizational, problem-solving, and project management skills, with the ability to operate effectively in a multidisciplinary research environment.

Benefits:

• Base salary of $110,000–$140,000 per year , with final compensation determined by experience, skills, location, market conditions, and internal equity.
• Potential performance incentives and program-specific awards.
• Remote work opportunity.
• Paid Personal Time Off (PTO).
• Medical, dental, and vision insurance.
• Supplemental life insurance with AD&D coverage.
• Short- and long-term disability benefits.
• Flexible Spending Accounts (FSAs).
• Parental leave.
• Legal services benefits.
• 401(k) retirement plan with employer matching.
• Career development and professional training opportunities.
• Access to an e-learning platform for formal and informal learning.
• Professional and technical certification preparation.
• Education assistance at accredited institutions.
• Opportunities to collaborate with multidisciplinary teams working on impactful health research and public-sector programs.

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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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.