Department: MED-Clinical Trials Unit
Salary/Grade: EXS/8

Job Summary:

Partners with clients to design, develop, implement and maintain business solutions regarding data management and analysis.  This includes database administration, data consolidation, data analysis and management reporting.  Utilizes software to generate metrics and develops actionable recommendations.  Collaborates with various function teams such as marketing, research, and IT to achieve business results.

Will interact with physicians and other clinicians to carry out statistical data programming and processing of studies.

Specific Responsibilities:

Strategic Planning

• Manages and plans for data/analysis requests and projects.
• Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.

Administration

• Reviews reports before presentation to ensure quality and accuracy.
• Develops and maintains documentation of process for quality assurance and reporting methodology.
• Defines, develops and communicates new standards and best practices. 
• Supports data backup and recovery processes.

Development                                                                                                                                                                                                                                                                                                                                                                                   

• Develops queries and quality metrics.
• Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
• Determines data structure for local datasets.
• Assists with design, configuration and implementing of databases.

Performance

• Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
• Ensures quality and compliance by reviewing reports
• Coordinates quality control and auditing of databases to ensure accurate and appropriate use of data.
• Ensures data integrity.
• Prioritizes and resolves database issues.
• Coordinates maintenance and use of data dictionary.

Supervises

• Provides work direction and/or supervises staff such as team members, subordinates, contractors, vendors, students, etc.
• Coaches and mentors staff.
• Manages projects ensuring timelines and deliverables are met and meet expectations.

Miscellaneous

• Performs other duties as assigned.

Minimum Qualifications:

• Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
• 4 years data analysis/report writing or similar experience required.
• Statistical analysis and programming using the SAS system.
• Please see information highlighted in tables below.

Minimum Competencies: (Skills, knowledge, and abilities.)

• Proficiency with SAS and SQL, programming for data management and analysis.
• Commitment to writing clean, well-documented code.
• Ability to work independently to efficiently accomplish specific responsibilities.
• COW - Communicates effectively one-to-one, or in small groups.
• PRS - Strong organization and problem solving skills.

Preferred Qualifications:

• Master’s degree in data science, biostatistics or statistics; or equivalent level of education or experience.
• Experience with Github - preferred but not required.
• Experience working with electronic health record data – preferred but not required.
• Knowledge of medical/institutional research procedures.
• Working knowledge of medical/ research terminology.
• Prior experience teaching graduate students.

Preferred Competencies: (Skills, knowledge, and abilities)

• Cardiovascular clinical knowledge.
• Proficiency in REDCap.
• Proficiency in database design.

Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.