Senior Data Manager, SAS Programmer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee data management activities for clinical, observational, and epidemiological research studies from the initiation phase to database closure.

• Design, develop, and sustain study databases and data management workflows, encompassing collection instruments, validation criteria, specifications, cleaning methods, and data transfers.

• Execute advanced SAS programming to clean, transform, validate, integrate, and manage intricate research datasets.

• Establish and implement data quality and validation processes, which include programmed checks, reconciliation, discrepancy resolution, and independent quality control.

• Integrate and reconcile data from various sources while ensuring consistency, completeness, traceability, and thorough documentation.

• Create and maintain study datasets, reports, extracts, and data releases, including interim data cuts and final deliverables.

• Offer technical guidance and mentorship to data management and programming personnel.

• Collaborate with cross-functional teams to ensure adherence to study requirements, standard operating procedures (SOPs), regulatory and privacy standards, as well as data management protocols.

⛳️ Requirements

• A B.S. degree in computer science, health sciences, or a related field coupled with seven or more years of programming and data management experience in health research; or an M.S. degree in a relevant field with five or more years of such experience.

• Proficient in advanced SAS programming, including DATA and PROC steps, macro programming, data transformation and integration, complex data validation, and reusable programming solutions.

• Proven experience in managing complex research data, preferably within clinical, observational, epidemiological, or biomedical research studies.

• Strong comprehension of the entire research data lifecycle.

• Experience in integrating and reconciling data from multiple sources while upholding data integrity, traceability, and documentation.

• Capacity to independently lead complex data management and programming tasks, define technical strategies, manage priorities, identify risks, and meet deadlines.

• Experience in developing and executing quality control procedures, as well as independently reviewing data, code, datasets, and technical outputs.

• Exceptional communication, collaboration, and mentoring abilities.

• Familiarity with R, Python, SQL, database architecture and development, Git or similar version control systems, APIs, or comparable technologies is highly desirable.

• Knowledge of clinical research data standards and regulations, including NIH Common Data Elements, HIPAA, 21 CFR Part 11, GCP, or FAIR principles, is highly desirable.

🏝️ Benefits

• Personal Time Off (PTO)

• Medical insurance

• Dental insurance

• Vision insurance

• Supplemental life insurance with AD&D

• Short-term disability

• Long-term disability

• Flexible spending accounts

• Parental leave

• Legal services

• 401(k) Retirement Plan with matching component

• Training for career development

• Best-in-class e-learning suite for formal and informal learning

• Professional and technical certification preparation

• Education assistance at accredited institutions

• Performance incentives and program-specific awards may be available