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DescriptionDr. Paula Ramos is seeking a Research Data Analyst to support human genetics research aimed at investigating the etiology of autoimmune diseases like lupus and scleroderma in heath disparity populations. The successful candidate will play a pivotal role in collecting, organizing, and analyzing omic (e.g., genomic, transcriptomic), clinical, and environmental data to support novel research into the influences of genetic and social factors on autoimmune and rheumatic diseases. Opportunities for training and career development will be provided and encouraged.
KEY RESPONSIBILITIES:
Creates and maintains a data dictionary and meta data.Supports efforts to ensure that data standards are developed and maintained.Ensures that the uses of data through reports and queries are accurate.Supports business and system re-engineering and architecture development to define future data needs.Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.Performs other related duties as required.ADDITIONAL JOB DETAILS:
Access, review, process, harmonize, and organize large-scale phenotype, omic, and exposure datasets.Implement, manage and maintain bioinformatic workflows and pipelines for analyzing multi-omic data on high performance computing clusters.Analyze datasets using statistical methods on high performance computing clusters.Maintain data records and documentation.Keeps abreast of the latest statistical modeling and computing tools.Prepare methods sections and results for publications, grants and seminar presentations.Prepare electronic files using appropriate formats for submission to regulatory agencies.Participate in team meetings and collaborate with other research groups to share knowledge and best practices.MINIMUM QUALIFICATIONS:
A bachelor's degree and one year of experience in data analysis, statistics, or a related field, OR an equivalent combination of education, training, and experience.PREFERRED QUALIFICATIONS:
Bachelor's degree in Statistics, Bioinformatics, Computational Biology, or a related field.Experience with computer programming in at least 1 language (preferably R or Python).Familiarity with version control systems (e.g., Git).Experience with high-performance computing environments and/or cloud platforms.Strong foundation in statistical analysis.Excellent organizational and communication skills.Ability to work in a collaborative research environment.NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs.  Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee.
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