Job Purpose Summary: The Data Manager is responsible for the management and processing of clinical and preclinical data used to support the research goals of C-Path consortia and other data collaboration projects. The Data Manager will utilize vendor and internally developed tools to review data quality, normalize and aggregate data according to accepted data standards, identify and resolve process flow issues and data quality problems, and create data analysis sub-sets required by research plans. The Data Manager will also assist with the design and implementation of databases and will support the development of solutions that address the data collaboration needs across a broad spectrum of stakeholders.

Essential Job Duties and Responsibilities:

• Review, curate, and validate preclinical and clinical data
• Utilize vendor and internally developed tools to identify and resolve data quality problems
• Extract, transform, and load data into C-Path databases in accordance with prescribed data standards
• Analyze data and create analysis data sets based on research specifications
• Assist with the implementation and support of databases
• Assist in the development of internal data collaboration projects. This may involve the development of software to optimize data input and output.
• Support effective collaborations with C-Path teammates, external vendors, consortia members, and other stakeholders across the globe
• Other duties and responsibilities may be assigned

Education and Training:

• Bachelor's degree in Statistics, Data Management, Computer Science, Information Management; Master's degree preferred
• 3+ years' experience in scientific research data management in industry and /or academia, preferably experience of clinical/preclinical data management

Knowledge/Skills/Abilities:

• Excellent organizational, interpersonal skills and problem solving/decision making skills
• Works well independently and in a team-oriented, collaborative environment
• Ability to effectively manage time, prepare for meetings, and prioritize project work
• Experience with relational databases with proficiency is SQL (PostgreSQL and/or MySQL)
• Experience with statistical analysis software (SAS or 'R') preferred
• Competence with other programing languages such as Perl, Python, Java, C++, or Ruby
• Experience of the clinical research industry and familiarity with the clinical development process
• Proficient use of Microsoft Office Suite, Skype, WebEx and other conferencing technology is preferred
• Requires strong oral and written communication skills.
• Travel on occasion for out of town meetings.