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Position Summary:

The primary purpose of this position will be to carry out bioinformatic and computational analysis to identify genes associated with the risk of complex genetic diseases, using high-throughput seuqenicng data. The candidate will be responsible to utilize current computational pipelines and develop novel computational tools to identify candidate disease-causal genes in different disease cohorts. A variety of data set from different projects will be analyzed, such as whole-genome sequencing, whole exome sequencing, and transcriptome data.

Minimum Education and Experience:

Ph.D. in genetics, bioinformatics, molecular biology or related fields. At least 1 year of working experience in Genomics research fields. Strong background in programming and working knowledge with statistical techniques and software.

Required Knowledge, Skills, and Abilities:

The successful candidate should have a Ph.D. in genetics, bioinformatics, molecular biology or related fields. At least 1 year of working experience in Genomics research fields.Strong background in programming (perl/python/C++ or similar) and working knowledge with statistical techniques and software (Matlab/R or similar). Experience with database programming (Oracle/MySQL) and analysis of high-throughput genomic data.

Equipment Utilized:

Working knowledge with Linux system and high-performance scientific computing clusters.

Physical Demands and Work Environment:

Working knowledge with Linux system and high-performance scientific computing clusters.

Posting Number: 19FA1088

Location: Rutgers University - New Brunswick