Department of Statistics

Statistics Jobs

06/19/2017
Statistical Geneticist
RTI International

Company Information: RTI International is one of the world’s leading research institutes, dedicated to improving the human condition by turning knowledge into practice. Our staff of more than 4000 provides research and technical services to governments and businesses in more than 75 countries in the areas of health and pharmaceuticals, education and training, surveys and statistics, advanced technology, international development, economic and social policy, energy and the environment, and laboratory testing and chemical analysis.

Position Title: Statistical Geneticist

Duties and Responsibilities: 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 mid-level
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 or Atlanta, GA office.

Responsibilities

1. Carry out statistical analysis of genomics and genetics data.
2. Develop efficient computational methods to implement solutions to above problems.
3. 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.
4. Help design, code, test, debug, modify, analyze and document applications and make recommendations for system enhancements.

Position Qualifications: Qualifications

• Master’s degree with 3 years of experience, or PhD with no work experience, in biostatistics, statistics, bioinformatics, genetics, epidemiology or related health field.
• At least 3 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 interaction with scientific investigators are required.
• Ability to work independently with minimal or no supervision.
• To qualify, applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa status.
• Experience multi-tasking and working in a time sensitive manner.

Desired Qualifications

• Experience in leading complex statistical or epidemiological applications. Experience in design and implementation of industrial grade computational pipelines.
• 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 projects, such as the 1000 Genome project, the ENCODE project, the GTEx project, and the Roadmap Epigenomics Project.
• 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.

Salary Range:

Benefits: Competitive

Website: http://www.rti.org

Application Information: Please apply by visiting, http://m.rfer.us/RTI7EurN.

Contact Email: kvester@rti.org

Application Deadline: 07/15/2017