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Social Sciences Research
190FY Requisition #
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RTI’s staff in the Center for Genomics in Public Health and Medicine conduct research in genetic diseases, genomic and environmental interactions in disease development, and evaluation of genetic and genomic testing used in a variety of diseases.  We are seeking a researcher with a strong quantitative background to aid in developing, implementing, and testing scientific programs to simulate and/or analyze genetic data.  In this role, the candidate is expected to carry out statistics and bioinformatics analyses to support epidemiologists and geneticists, including but not limited to data manipulation, quality control, algorithm implementation, and pipeline development.  This position is based in our Research Triangle Park, NC, Atanta, GA, Washington, DC, or Rockville, MD offices.

• Carry out statistical analysis of genomics and genetics data.
• Develop efficient computational methods to implement solutions to above problems.
• Implement analysis techniques in software which can be used in research and product development and which can be handed over to commercial software developers for integration into commercial product.
• Help design, code, test, debug, modify, analyze and document applications and make recommendations for system enhancements.

• Bachelor’s degree in biostatistics, statistics, bioinformatics, genetics, epidemiology or data science field with 2 years of experience or a Master’s degree wit hno work experience.
• At least 2 years of experience using at least one scripting language (eg. Python, Perl, bash), and at least one statistical programming language (eg. SAS, R, Stata, M-Plus) on personal computers and workstations operating in Windows, MAC, and Linux/UNIX environments, and high performance computing cluster.  Experience with C++ and Java a plus but not required.
• Strong oral and written communications skills and interactions with scientific investigators are required.
• Ability to work independently with minimal or no supervisor.
• To qualify, applications must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa status.

Desired Qualifications:
• Experience in running complex statistical or epidemiological applications.  Experience in design and implementation of industrial grade computational pipelines.
• Experience in analyzing data from a variety of high throughput biological screens (i.e. multi-omic data) such as metagenomic, megabolomic, epigenetic, transcriptomic, and/or genomic data.
• Knowledge of foundational principles of statistical algorithm and design and performance characterization, machine learning, or optimization techniques.
• Experience with handling and analysis of large (GB-TB size) datasets.
• Experience with cloud computing and familiarity with SQL/NoSQL database, graph, wide column and blob databases.
• Experience with Jupyter Notebook, Hadoop, and other bid data tools.
• Experience in the analysis of bioinformatics and statistical genetics data using software packages such as PLINK, IMPUTE2, R-Bioconductor, GATK, SAMtools, VCFtools, BWA, Bowtie, etc.
• Familiar with large human consortium projrects, such as the 1000 Genome project, the ENCODE project, the GTEx project, and the Roadmap Epigenomics Projects.
• In-depth knowledge of experiment design concepts, statistical genetics analysis, and any of the following: survival data analysis and modeling in the presence of time dependent covariates, categorical data analysis, mixed effects modeling, non-parametric methods, and machine learning methods such as linear modeling, stepwise regression, unsupervised and supervised clustering methods, hierarchical modeling, and statistical theory and techniques.


Physical and mental demands of this role include those that must be met by an employee to successfully perform the essential functions of this job, as outlined above.  Examples include:  remaining in a stationary position for long periods of time; operating a computer and other office machinery; thinking, learning, and concentrating effectively and frequently communicating with other people, both within RTI and outside of RTI; frequently moving about inside and travel between offices and laboratories; frequently conducting laboratory site inspections (if applicable), ability to handle the stress associated in meeting frequent, multiple and tight deadlines, ability to work in excess of 40 hours per week as workload and deadlines may require, consistent demonstration of mental stability and ability to have regular, reliable and predictable attendance.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job, per RTI procedure 4.2.1. 

RTI International is an independent, nonprofit research institute dedicated to improving the human condition. Clients rely on us to answer questions that demand an objective and multidisciplinary approach—one that integrates expertise across the social and laboratory sciences, engineering, and international development. We believe in the promise of science, and we are inspired every day to deliver on that promise for the good of people, communities, and businesses around the world. For more information, visit www.rti.org.
For USA Job Postings Only: RTI participates in the US Government E-Verify program. Further information regarding the E-Verify program and laws that are designed to protect you against discrimination relating to your legal right to work in the US can be found here.
For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Further information is available here.

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