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 integritysupporting 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.

• Masters 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.