GDIT is seeking a Senior Bioinformatics Scientist to join its team in Atlanta working with the Centers for Disease Control and Prevention (CDC), (Office of NCIRD/Influenza Division) to modernize CDC’s capability in infectious disease diagnostics, treatment, and pathogen surveillance. The ideal candidate will be a skilled professional with broad experience in bioinformatics, including comparative genomics, Next Generation Sequence (NGS) analysis, high throughput genome annotation and analysis pipeline development. The ability to work with and integrate other data types (e.g. antigenicity, functional assays) with core sequence information is highly desired.
To be successful, you should possess strong interpersonal, organizational, and communication (verbal and written) skills. Experience with viral and bacterial pathogen genomics is preferred as is demonstrated ability to work in a dynamic, fast paced, matrixed environment. This is an industrial bioinformatics group and although there will be elements of research to this position, the incumbent is expected to maintain a focus on product delivery.
In this role, you will
Collaborate with CDC staff and team members to define project objectives, implementation details, and project schedules.
Work as part of diverse team of bioinformaticians and IT professionals, you will contribute to the development of standards-based algorithms and analysis workflows; the application of those tools to emerging needs of the CDC; and integration of those capabilities into broader bioinformatics activities and software development efforts.
Required Skills and Experience:
BS/BA in a related discipline or the equivalent and five years related work experience or a MS and three years related experience.
Experience in algorithm generation as well as pipeline generation and/or computational methods implementation
Experience working in development and application of bioinformatics workflows/pipelines for NGS data analysis
Experience in developing software in the Linux environment
Understanding of the theory of major NGS platforms
Familiarity with statistical/mathematical packages, such as R or MATLAB
Fluency in Linux and high performance computing environments
Familiarity with principles of object oriented programming
Desired Skills and Experience:
Ph.D. in Bioinformatics, Computational Biology; Biostatistics, or other relevant discipline
5+ years experience in bioinformatics and NGS data analysis, including the development of multistep analysis pipelines/workflows using scripting languages
Experience developing production-quality bioinformatics tools, workflows, and applications
Experience with workflow orchestration tools/standards such as Common Workflow Language (CWL) or Workflow Description Language (WDL)
Experience developing portable bioinformatics tools using contemporary container technologies such as Docker or Singularity
Experience in using software revision control systems (e.g. GIT)
Familiarity with service-oriented architectures (SOA), experience developing within such architectures
Experience with full software development life cycle and software development best practices
Experience using collaboration and tracking tools such as JIRA and Confluence
Experience working as part of Agile software development teams
ATTRIBUTES FOR SUCCESS:
Strong interpersonal and communication skills
Attention to detail
Comfortable working in a dynamic, fast paced environment
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.