Post Doctoral Fellow

Frederick, MD
Apr 14, 2019
Required Education
Position Type
Full time

The Advanced Biomedical Computing Sciences (ABCS), part of the Biomedical Informatics and Data Science (BIDS), provides scientific computing, modeling, imaging, and bioinformatics support, engages in scientific consultation and collaboration, and offers training to 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 streamline project requests and analysis workflows, enable disease agnostic access and analysis, variant impact annotation, identifier conversions across species, and merging clinical and research data enabling translation from basic to the goal of precision medicine.


  • Work with scientific experts to determine key focus areas for rare disease informatics
  • Review literature, research websites and data sources to identify data sets of interest
  • Work with the development team to build use cases and prioritize informatics tasks
  • Identify and/or develop algorithms to answer specific research questions such as determining genotype/phenotype correlations
  • Document approaches and processes clearly and comprehensively



  • Possession of a doctoral degree in computer science, Math or Biomedical 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 U.S. equivalency
  • No Experience is required beyond the educational requirements
  • Demonstrated ability to research and critically review data required for understanding of disease mechanisms
  • Experience in determining genotype/phenotype correlations and clinical impact of genomic variants
  • Ability to self-direct with little or abstract day-to-day instruction
  • Excellent written and verbal communication skills / ability to document and communicate complex scientific concepts for a variety of audiences
  • Must be able to obtain and maintain a security clearance




  • Experience with analyzing NGS datasets
  • Experience with determining disease prevalence and incidence rates
  • Experience with web and database technologies

​Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)