Computer Systems Analyst (DNA Sequencing Analysis)

Posted 8 Days Ago
Be an Early Applicant
Bethesda, MD, USA
In-Office
Entry level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Develop and maintain DNA sequence analysis tools using C and Perl; interpret cDNA and mouse genomic sequences; manage nucleic acid and protein analysis programs; submit annotated sequences to international databases; administer Oracle databases and laboratory computing infrastructure; support genetic mapping, in situ hybridization data tracking, and genomic analysis for NIH scientists.
Summary Generated by Built In

Nextonic Solutions is seeking a Computer Systems Analyst to join our vibrant team at the National Institutes of Health (NIH) supporting the Bethesda, MD

 

Statement of Need and Purpose:

There is an essential need for continued and logistical support to ensure the efficient, compliant, and effective operations of the Intramural Research Program (IRP) at the National Institute on Aging (NIA). 

 

General Requirements:

  • Develop and maintain the DNA sequence analysis software tools with C and Perl 
  • Organize and perform sequence interpretation of cDNA samples, and large tracts of mouse genomic DNA 
  • Sustain a full cohort of nucleic acid and protein analysis programs, prepare submissions of annotated sequence and enter them in international databases 
  • Install and maintain Oracle Database system; provide hardware support to interface computers in the Laboratory of Genetics with servers and external networks
  • Develop selected STSs and ESTs from cDNAs; tracking and linking data on in sit hybridization of cDNA probes to whole mount and sectioned mouse embryos; and back-cross mapping of cDNAs to locations within 1 Mb on mouse chromosomes
  • Provide advice on the adaptation of standard genetic mapping packages for linkage and association studies to longitudinal studies of inherited aging-related traits
  • Interact with several groups of scientists requiring information and advice on computer-based gene and genomic DNA analysis

 

Requirements:

Computer generated work including developing and maintaining the DNA sequence analysis software tools with C and Perl; sustain a full cohort of nucleic acid and protein analysis programs, prepare submissions of annotated sequence and enter them in international databases; install and maintain Oracle Database system; develop selected STSs and ESTs from cDNAs, track and link data on in situ hybridization of cDNA probes to whole mount and sectioned mouse embryos, and backcross map of cDNAs to locations within 1 Mb on mouse chromosomes.

 

Work products and documents related to advising on the adaptation of standard genetics mapping packages for linkage and association studies to longitudinal studies of inherited aging-related traits.

 

Work products and documents related to interacting with several groups of scientists requiring information and advice on computer-based gene and gnomic DNA analysis.



Skills Required

  • Develop and maintain DNA sequence analysis software tools using C and Perl.
  • Organize and perform sequence interpretation of cDNA samples and mouse genomic DNA.
  • Maintain nucleic acid and protein analysis programs and prepare annotated sequence submissions for international databases.
  • Install and maintain Oracle Database systems.
  • Provide hardware and networking support for laboratory computers, servers, and external networks.
  • Develop STSs and ESTs from cDNAs and track in situ hybridization data from mouse embryos.
  • Perform genetic mapping of cDNAs to mouse chromosomes and adapt genetic mapping packages for linkage and association studies.
  • Advise scientists on computer-based gene and genomic DNA analysis.
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The Company
HQ: Germantown, MD
25 Employees
Year Founded: 2018

What We Do

Nextonic Solutions is a federal research solutions partner combining scientific expertise, biomedical data capabilities, and secure technology for federal health and life-sciences agencies. It supports research across the lifecycle with preclinical and assay services, bioinformatics, analytics, and AI/ML, while modernizing IT platforms through cloud, cybersecurity, automation, and custom software engineering. Its work connects science, data, and technology to accelerate discovery and improve secure, mission-critical operations.

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