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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
"It is a pleasure to be part of a company that has such a positive outreach and works to improve the human condition. With a great reputation in the local community and abroad, it is easy to feel proud of the products and services produced by RTI. I like the variation of my role and that I get to work with a wide variety of people across the globe. I enjoy working at RTI because it is a place that demands excellence while still allowing a healthy work-life balance." Tierra Vazquez Sr. Administrative Assistant-International Education
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Social Sciences Research
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SSES EHS
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1905V Requisition #
Thanks for your interest in the Statistical Geneticist - Bachelor's level position. Unfortunately this position has been closed but you can search our 179 open jobs by clicking here.
Qualifications:
• 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.

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