The Advanced Biomedical Computing Center (ABCC) provides technology development, scientific consultation, collaboration, data analysis and training to the NCI and NIH scientists and staff. The Core Infrastructure and Systems Biology (CISB) group in ABCC 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
- Develop custom computational pipelines to mine information from diverse data types and gain research insights
- Integrate data from biological annotation databases, structured experimental and clinical data, and unstructured text to develop applications that are easy to use by the researchers
- Implement machine learning and statistical modeling to predict patterns in the data
- Document approaches and mechanisms clearly and comprehensively.
- Research and proof cutting edge methods for data mining and data presentation
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Possession of a Bachelor’s degree in Applied Mathematics, Computer Science or a related field from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying education may be substituted for the required expertise). Foreign degrees must be evaluated for U.S. equivalency
- In addition to the educational requirements, a minimum of two (2) years of experience is required
- Expertise in mining scientific documents using NLP
- Demonstrated expertise in data processing languages such as Python or R
- Expertise in developing custom data mining algorithms
- Strong drive and initiative to explore new technologies in data analytics and knowledge mining
- Excellent written and verbal communication skills / ability to document and communicate complex technical concepts for a variety of audiences
- Must be able to obtain and maintain a security clearance
Candidates with these desired skills will be given preferential consideration:
- Master’s degree in Applied Mathematics or Computer Sciences or a related field
- Experience with large scale data mining using Hadoop, Spark or other similar infrastructures
- Experience in developing data integration and visualization tools
- Knowledge of current bioinformatics experiments and analysis methods including microarray and NGS analysis, to understand the data provenance of how the data was generated, underlying biology and any associated complexities
Leidos is a global science and technology solutions leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported pro forma annual revenues of approximately $10 billion for the fiscal year ended January 1, 2016 after giving effect to the recently completed combination of Leidos with Lockheed Martin's Information Systems Global Solutions business (IS GS). For more information, visit www.Leidos.com. The company’s diverse employees support vital missions for government and commercial customers. Qualified women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an Equal Opportunity Employer.