Provides technical support for lab's computational software.
Performs reproducible genomic data analysis.
Provides internal support for computational software and workflows.
Designs and implements research that focuses on investigation of human genome function in healthy and disease cohorts.
Performs integrative statistical analysis of genome-wide genomic datasets.
Writes and implements efficient and effective code and pipelines for data processing and analysis.
Coordinates work with other scientists in the laboratory and collaborating effectively on joint research projects.
Downloads and organizes data repositories.
Recognizes abnormal results and troubleshooting analytic pipelines to correct problems.
Adapts existing procedures to current work needs and making significant contributions to analysis methodology.
Summarizes results and assists in interpreting findings.
Presents findings at internal and external venues, and in written publications.
Assists in supervising laboratory trainees.
Assists in grant writing.
Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Performs other related work as needed.
Bachelor degree in statistics, computer science, genetics, bioinformatics, computational biology, population genetics or a field of study relevant to the research being conducted.
Technical Skills or Knowledge:
Proficient using languages such as Java, Perl, Python, R or PHP.
Skillful with Linux and/or Unix.
Working knowledge with cloud computing.
Excellent in project management.
Knowledge of regulatory policies and procedures.
Attention to detail.
Verbal and written communication skills.
Work independently and as part of a team.
Version control experience. Â
Cover Letter (required)
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Internal Number: JR10300
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