Ensure timely processing and review of clinical NGS data from patient samples processed in the Clinical Genomics Laboratory.
Implementation of novel software and pipelines to facilitate assay development and translational science studies.
Analysis, display, and interpretation of genomic data to support clinical development, including the creation of validation summary documentation in accordance with Clinical Laboratory Improvement Amendments (CLIA) guidelines.
Ensuring proper maintenance, organization, and backup of clinical laboratory data on on-site high-performance computing cluster systems.
Participation in translational research studies within the Clinical Genomics Laboratory, in collaboration with GMP faculty and other investigators.Â Includes experimental design, pipeline development, novel software engineering, custom data analysis, data integration, authorship, and presentation.
Assisting with pathology resident and fellow education in bioinformatics.
Participates in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences).
Applies basic application of computational tools and information technology to gather, analyze and visualize data in biology and biomedical research.
Performs other related work as needed.
Masters (minimal level) or PhD in Bioinformatics or Computational Biology or equivalent.
4 years of experience in computer programming; required, including proficiency in Python, R, Bash, MySQL.
3 years of experience in scientific data processing and bioinformatics.
2 years of experience performing analysis of next-generation sequencing data.
Strong computing skills and Linux experience, with software development experience in multiple programming languages, including Python and R.
Next-generation sequencing bioinformatics knowledge, preferentially with previous cancer and clinical laboratory experience.
Scientific data analysis and presentation skills.
Strong knowledge of next-generation sequencing methodology and data analysis.
Knowledge in bioinformatics or computational biology is required, including statistical analysis and biological interpretation of data.
Prior experience working with large-scale datasets using high-performance computing environments is a plus.
Cover Letter (preferred)
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