• SAIC, Inc
  • Fort Meade, MD, USA
  • Aug 18, 2020

Job Description


SAIC is seeking an experienced Bioinformatician to support a program with direct impact to our country’s national security.  This position is located in Fort Meade, MD.  The position requires an active/current TS/SCI security clearance with Polygraph and be willing and able to pass an additional polygraph as needed.


The candidate will have a strong domain knowledge in genomics, excellent programming skills, and have experience applying that knowledge with next generation sequencing.  The candidate will combine research in biology, medicine, and health-related studies with information technology in order to collect and interpret data covering a range of fields, such as genetics or pharmaceutics.  The candidate will manage, mine, visualize and analyze biological data working closely with other professionals to achieve the broader objective of their work to:

  • Exploit identified sequences using approved bioinformatics tools and processes
  • Support incorporation of identified sequences of value into appropriate databases or repositories
  • Write reports on exploitation of DNA sequences
  • Write reports on identification of areas of collaboration
  • Have demonstrated ability to work independently as part of a multidisciplinary team, communicate clearly, and deliver timely results. 


TYPICAL EDUCATION AND EXPERIENCE: Minimum BS degree focused in genetic analysis of biological and/or human identity sample with strong bioinformatics expertise;

  • 2+ years experience performing bioinformatics work and writing reports based upon the resulting work/accomplishments.
  • Published reports related to genetic analysis/bioinformatics and/or authored new procedures/methods to create innovative approaches to solve complex issue
  • Experience handling next generation sequencing data, running kmer and non-kmer based analysis methods, and read-mapping
  • Understanding of the technical underpinnings, applications, and limitations of multiple sequencing platforms including but not limited to Illumina, PacBio, and Oxford Nanopore
  • Proficiency in statistics packages such as R
  • Programming skills sufficient to extract, transform, process, and clean large metagenomics datasets
  • Significant current experience (i.e, within the last 2-years) in metagenomics analysis of environmental samples