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Job #: TR-657197
Location: San Diego, CA
Category: Research Scientist
Schedule (FT/PT): Full time
Travel Required: Yes, 10% of the time
Shift: Day
Potential for Telework: No
Clearance Required: Top Secret
Referral Eligibility: Eligible
Group: Leidos Innovations Center (LInC)

Job Description:

This is where your legacy begins!

The Advanced Solutions Group at Leidos currently has an opening for a Scientist / Senior Scientist - Computational Biology to work in our San Diego, California office. We are seeking a broadly trained and highly motivated computational biologist for advanced technology programs focused on molecular biology, genetics / genomics, systems biology, synthetic biology, and bioinformatics. This is a highly dynamic and integrative environment in which talented and creative scientists can thrive working on a diverse array of multidisciplinary projects. The group has an immediate need for someone with strong skills in systems-level data integration (NGS-derived) and predictive statistical modeling.

Roles and Responsibilities:

- Lead and/or support on-going and future efforts to characterize changes in multiple-omics profiles under different conditions.

- Develop statistical and machine learning-based models to leverage new insight into biological systems from -omics data (e.g., genomics, epigenomics, transcriptomics, metabolomics).

- Contribute to the development of novel applications in support of government-funded efforts in the areas of synthetic and systems biology.

- Effectively communicate research in team meetings, progress reports, peer-reviewed publications, and patents.

- Quickly adapt to evolving research needs, rapidly acquire new scientific knowledge and stay informed on new technologies.

- Work effectively as a member of an interdisciplinary team consisting of biologists, chemists, mathematicians, statisticians, and engineers.

- Follow sound scientific practices and maintain effective documentation of activities and analyses.

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

- A Ph.D. in Computational Biology, Bioinformatics, Biostatistics or related discipline with 5 years of technical experience (technical experience obtained during graduate or postdoctoral work can be counted towards total years of experience).

- U.S. Citizen with the ability to obtain and maintain a Top Secret Security Clearance

- Experience processing, analyzing and integrating multiple NGS-based data sets.

- Linux scripting abilities and working knowledge of at least one program language (e.g., R, Perl, Python, C++).

- Strong background in statistics / machine learning applied to systems-level data types.

- Strong background in Biology.

- Team oriented with excellent written and verbal communication skills; ability to interact with people from diverse areas and disciplines.

Preferred Qualifications:Candidates with these desired skills will be given preferential consideration:

- Integration of multiple -omics platform data

- Network analysis

- Development of predictive statistical models

- Understanding of Molecular Biology / Genetics assays- Synthetic Biology experience

- Population Genetics / Evolutionary Biology experience

- Possess US government Security Clearance


Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 31,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $10.17 billion for the fiscal year ended December 29, 2017. (NYSE: LDOS) 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.

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