The Advanced Biomedical and Computing Sciences (ABCS) provides technology development, scientific consultation, collaboration, data analysis and training to the NCI and NIH scientists and staff. The Data Solutions and Systems Biology (DSSB) group in ABCS strives to streamline and provide innovative solutions for the NCI/NIH community to access and use biological information collected across different sources and formats. Integrating diverse data sources to enable disease agnostic access and analysis, variant impact annotation, identifier conversions across species, and merging clinical and research data enables translation from basic to the goal of precision medicine. KEY ROLES/RESPONSIBILITIES-THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL Lead data architecture and modeling efforts as well as building databases and integration services using variety of tools and technologies such as RDBMS, NoSQL, Graph Models and distributed architecture in accordance with the functional and nonfunctional requirements of other teams and scientists Develop advanced analytic models and machine learning algorithms that discover clinical insights Develop custom data querying/mining pipelines for mining and integrating information from clinical and genomic data, multi-level biological annotations and information from other knowledge mining applications Coordinate with the other technical and nontechnical teams in building public-facing applications and services (APIs) for a variety of users in the cancer research field Work closely with other FNL and NCI teams to coordinate activities and develop collaborative projects BASIC QUALIFICATIONS Possession of a Bachelor's degree in Computer Science or a related field from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for US equivalency In addition to educational requirements, a minimum of eight (8) years related experience. Deep knowledge in data structures, data modeling and architecture for high-throughput and scalability Significant expertise in RDBMS like Oracle, MySQL & PostgreSQL. Strong knowledge of various querying languages and query performance tuning with demonstrated ability of writing complex queries Experience in building robust data pipelines and services Knowledge in scripting languages and Unix/Linux OS scripting Strong knowledge of algorithms and one or more programming languages such as Python, Java, or C Strong drive and initiative to explore new territories in data and knowledge mining Demonstrated ability to learn and apply new technologies according to the changing needs of the project and organization. Able to work on initiatives independently and in a highly collaborative environment Has strong work ethics, organized, detail oriented and focused on execution Strong verbal and written communication skills Must be able to obtain and maintain a clearance PREFERRED QUALIFICATIONS Expertise in NoSQL data architecture such as Key-Value, column, document and graph model Knowledge of agile web development, experience in developing data integration and visualization tools Knowledge of the biomedical domain Knowledge of NLP applications Leadership characteristics - Able to mentor and direct more junior developers on technical issues. Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)