Data Manager
Remote
ABOUT CRITICAL PATH INSTITUTE (C-PATH)
Critical Path Institute (C-Path) is a nonprofit engaged in the creation of partnerships and innovative processes that improve human health by reducing the time, cost, and risk in developing and approving new therapies. For over ten years, we have partnered with industry and academic experts to advance technologies across the spectrum of medical product development from research to regulatory approval. As a leading nonprofit organization dedicated to fostering collaboration and promoting data sharing in the precompetitive space, C-Path has been at the forefront of numerous advances designed to get new treatments to patients quicker. Our continuing success is made possible by a combination of public and private support from those who share our vision to accelerate a path to a healthier world.
POSITION OVERVIEW
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. This is a one-year position with the possibility to renew to a long-term position.
CORE DUTIES / 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
SUPERVISORY RESPONSIBILITIES
None
REQUIRED EDUCATION AND EXPERIENCE
- Bachelor's degree in Life Science, Statistics, Data Management, Computer Science, Information Management, or Medical Technology
- 3+ years' experience in industry (pharmaceutical, CRO, biotechnology), healthcare, or academia preferred
REQUIRED KNOWLEDGE, SKILLS AND 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 preferred)
- Experience with statistical analysis software (SAS or 'R' preferred)
- Competence with other programing languages such as Perl, Python, Java, C++, or Ruby is beneficial
- Knowledge of clinical research industry and familiarity with the clinical development process is beneficial
- Experience in clinical/preclinical data management is beneficial
- 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 (max 3-5%).
Critical Path Institute is an equal opportunity employer. Visit our website at www.c-path.org
The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties ay be added, or this description amended at any time.
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Job Profile
Benefits/PerksCollaborative environment Possibility to renew
Tasks- Assist with database design and implementation
- Create data analysis subsets
- Manage clinical and preclinical data
- Normalize and aggregate data
- Review data quality
C++ Clinical Data Data Management Data Quality Java Microsoft Office MySQL Perl PostgreSQL Preclinical data Python R Ruby SAS Skype SQL WebEx
Experience3 years
Education