Computer Scientist

Position Objective: Provide services as a Computer Scientist in support of the overall functions of the National Center for Advancing Translational Sciences (NCATS) within the National Institutes of Health (NIH). This role will independently provide support services to satisfy the overall operational objectives.

Duties And Responsibilities

• Perform software development to include the definition of subsystem interface specifications, software modeling and implementing the software design. 1
• Apply the techniques of parallel computing to computationally intensive tasks that are encountered in biomedical applications.
• Implement algorithms for highly parallel computer structures containing many processor elements in application areas such as computational chemistry and structural biology.
• Design software to help solve problems that arise during the development of new approaches to biomedical computing.
• Design, develop and modify existing software to help solve scientific computing problems which involve graphics, prototype database development, genomic data analysis, modeling and simulation, and data display and presentation.
• Establish functional requirements through discussion with investigators and observations of their methods and investigates software architectures and development of methods to improve software reusability and portability.
• Research existing and new technologies used in medicine and scientific research to evaluate how it might be optimized and expounded upon through better technology and applications.
• Collaborate with teams of engineers and scientists in completing phases of projects by developing subsystems or components, which are part of those projects. 3
• Conduct theoretical and experimental studies of integrated computerized information systems. 5
• Analyze system performance data to identify areas in need of change or improvement.
• Maintain deep understanding of computer science theories and the latest trends and developments in computational and information sciences.
• Provide input into software and hardware investment planning based on deep understanding of clinical necessities.
• Develop advanced machine learning algorithms to support scientific research and medical research and business process improvement.
• Design, build and deploy data ingest and transformation infrastructures using deep learning neural networks.
• Design, build and maintain a robust and flexible informatics infrastructure to support datacollection from automated high through-put screens 2
• Work with biologists and chemists to analyze data from assays and screens 4
• Coordinate data storage and mining with NCBI and the informatics groups of other screening centers.
• Handle large volumes of data obtained from production screening.
• Work with staff to analyze data from all states of assay optimization and probe discovery.
• Computer-generated work related to designing, building and maintaining informatics. infrastructure to support data collection from automated high through-put screens.
• Computer-generated work related to coordinating data storage and data mining.
• Work products and documents related to analyzing and handling large volumes of data.