SAIC is seeking personnel to support a contingent opportunity with The National Institute of Mental Health (NIMH) Data Archive (NDA) program in North Bethesda, MD. The NDA’s mission is to harmonize research data from hundreds of disparate research projects by using a common data definition, deep data federation techniques to query data held by others, and by managing a de-identified research subject identification system. Upon award, SAIC will provide project management, operations and database support, software engineering, managing a help desk, infrastructure support to the research community who are trying to deposit or access data, scientific support to program staff and other federal employees, and quality assurance checks on the data provided. This position is contingent upon award.
The Data Service Manager will be an expert in genomic and imaging pipelines and the use of Web services to accept and deliver scientific data. Expert in leading the scientific community by example, through the delivery of effective computational pipelines utilizing cloud resources to securely deliver data just-in-time.
Establish system information requirements using analysis of the information engineer(s) in the development of enterprise-wide or large-scale information systems. Design architecture to include the software, hardware, and communications to support the total requirements as well as provide for present and future cross-functional requirements and interfaces. Ensure these systems are compatible and in compliance with the standards for open systems architectures. Ensure that the common operating environment is compliant with the Agency enterprise architecture and applicable reference models. Systematically analyze problems of workflows, organization, and planning and develop appropriate corrective actions. Provide daily supervision and direction to staff.
Bachelor’s Degree and 4 years of experience implementing or supporting scientific pipelines and research data delivery.
Must be able to obtain a Public Trust clearance.
• Experience in medical / scientific / clinical computing environment.
• Experience working with big data, supporting analytics and statistical analyses.
• Experience developing and delivering solutions on large-scale public cloud infrastructures.
• Experience with the U.S. Department of Health and Human Services (HHS) Enterprise Performance Life Cycle (EPLC) framework.
• Experience with federal and HHS regulations regarding human subject research data including the Privacy Act, the Health Insurance Portability and Accountability Act (HIPAA), etc.