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"When I was still in college and working at RTI as an intern, I knew it was somewhere that I wanted to work full-time one day. RTI holds its employees to the highest standards, which allows for continuous growth both professionally and personally. I love being able to walk around campus and be immersed in a community of knowledgeable, hard-working innovators who all have a primary goal of improving the human condition." Lily Duchesneau Financial Analyst- SSES Strategic Pricing Group
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The Center for Omics Discovery and Epidemiology (CODE) in the Behavioral Health Research Division of RTI International has an immediate opening for a Bioinformatics Analyst team member. Our research portfolio is funded by the National Institutes of Health (NIH) and focuses on the genetic and epigenetic determinants of complex diseases and their interaction with environmental factors. We emphasize cross-institute and university collaborations to advance understanding of risk factors underlying substance use disorders, infectious disease susceptibility, and pulmonary dysfunction. This position is available in the Research Triangle Park area of North Carolina.
  • Perform statistical analyses of ‘omics data, including genome-wide genetic variation, DNA methylation, histone modification, and RNA sequencing data in a cloud environment.
  • Perform statistical analyses to integrate multiple ‘omics data types concurrently.
  • Implement standard and newly developed software for quality control and statistical analyses.
  • Support the management of ‘omics data from study investigators as well as publicly available resources.
  • Contribute to designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data.
  • Assist with the preparation of scientific conference abstracts and peer-reviewed manuscripts.
  • Assist with submission of grant proposals.
Minimum Qualification:
  • Bachelor’s degree in Bioinformatics, Statistics, Genetics, Computer Science, or related discipline with 2 years of work experience or Master’s degree in any of these disciplines
  • Experience with most of the following is required:
    • managing and analyzing large biological system datasets.
    • scripting (e.g., Python, Perl, C++) and programming languages (e.g., R) and with working in a linux/unix environment.
    • cluster and/or cloud computing.
    • working knowledge of bioinformatics tools and resources (e.g., ENCODE, Roadmap Epigenomics).
    • data storage, retrieval, and data mining for complex data sets.
  • Strong oral and written communication skills
  • To qualify, applicants must be legally authorized to work in the United States

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