Analyst Medicine - Critical Care

The Analyst Medicine - Critical Care will provide advanced statistical and data management expertise in support of a large, complex medical database that is continuously evolving. The successful candidate will:

• have a strong background in biostatistics, data management, and advanced statistical programming, particularly in SAS.
• engage extensively with database personnel, physicians, researchers, and administrators to ensure high-quality data, robust analyses, and timely reporting.
  play a key part in maintaining database integrity, supporting its continuous evolution, and producing high-quality reports and analyses to support clinical, quality improvement, and research initiatives.

Duties and Responsibilities:

• Maintains and oversees the integrity, quality, and security of a large, continuously evolving medical database.
• Collaborates with a multidisciplinary group to support database development, enhancement, and documentation.
• Designs, implements, and validates statistical analyses using SAS. Facility with R is highly desirable.
• Develops, generates, and refines routine and ad hoc statistical and analytical reports for clinical, research, and administrative stakeholders.
• Consults with physicians, researchers, and other data users to define analytical requirements, translate clinical and research questions into statistical plans, and interpret results.
• Contributes to the ongoing evolution of the database, including data structure design, variable definition, metadata standards, and data quality procedures.
• Contributes to developing and implementing procedures for data validation, cleaning, and quality assurance.
• Prepares and maintains comprehensive documentation of data management processes, analytical methods, and reporting standards in accordance with institutional and regulatory requirements.
• Provides training and technical support to database users and collaborators on data access, interpretation, and use of reports.

• 5+ years' experience in statistical analysis and data management in a medical, clinical, or health research setting.

• Master’s degree in Statistics, Biostatistics, Data Science, Epidemiology, or a related quantitative field.

• Demonstrated expert-level proficiency in SAS for data management and statistical analysis required.
• Experience working with large, complex, and evolving datasets required.
• Proven ability to work collaboratively within a multidisciplinary team environment.
• Strong written and verbal communication skills, with the ability to interact effectively with technical staff, physicians, and researchers.
• Proficiency in R for data manipulation, visualization, and advanced analytics preferred.
• Proficiency in Microsoft Access and other common data management platforms for data manipulation and executing checks of data quality and consistency preferred.
• Experience with clinical or health research databases, including knowledge of relevant privacy/confidentiality considerations preferred.