Research Associate I

Job Description:
Responsibilities:

• Under supervision of the Principal Investigator, the SRA-I provides technical and operational support for the design, implementation, and maintenance of existing and new pipelines for genetic data analysis. Job duties include: preprocessing next-generation sequencing (NGS) data (data conversion, sequence alignments, quality control); statistical analysis of NGS data using current analysis pipelines (variant calling, association analysis, enrichment analysis); improving current pipelines and developing new pipelines for NGS data with the latest statistical approaches; preparing analysis reports; maintaining NGS data and results for future projects; providing assistance to lab members for NGS data analysis.
• Download, convert, maintain, and preprocess next-generation sequencing (NGS) data from different sequencing projects such that they are appropriate for initial analysis.
• Perform sequence alignment and basic quality control using existing software packages on NGS data.
• Maintain and improve current analysis pipelines for variant calling, quality control, association, enrichment, gene set analyses of NGS data in a large UCLA cluster environment.
• Develop new pipelines for analyzing NGS data with the latest statistical approaches and integrate them with the current pipelines in a large UCLA cluster environment.
• Perform statistical analysis on large-scale whole-genome sequencing data of neuropsychiatric and neurodegenerative disorders by utilizing the existing and new analysis pipelines for NGS data.
• Prepare materials (tables, figures, analytic summary, interpretations) for research reports, presentations and manuscripts
• Assist lab members in analyzing NGS data for accuracy and appropriateness.
• This is a limited position, may convert to career.

• Preferred: BS degree in Biostatistics/Bioinformatics/Biochemistry or related field.
• Experience with programming or scripting languages (C/C++/Java/Python).
• Experience with linux environment and Sun Grid Engine.
• Experience with applying existing software packages to data.
• General knowledge of basic statistics including linear/logistic regression, t-test, and PCA.
• Knowledge of computational/statistical genetics.
• Experience with next-generation sequencing data analysis.
• Ability to multi-task.
• Ability to work independently and to take directions.
• Excellent attention to details.
• Ability to work in a collaborative environment.
• Ability to read and understand research papers on neurobehavioral issues and statistical methodology.
• General knowledge of University procedures.
• Willingness to work occasional overtime in order to meet deadlines related to grant applications and publications.

Requeriments :

• Technical Bachelor

Skills :

• Genetics
• Lunix/Unix
• Next Generation Sequencing
• Programing in C
• Programing in C++
• Programing in Python
• Programing Skills
• Programming in Java
• Statistics

Areas :

• Bioinformatics

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