Bioinformatics Scientist (52707)

GAP SOLUTIONS INC•Bethesda, MD

3d•$165,000 - $175,000•Onsite

About The Position

The Bioinformatics Scientist will provide support services to the National Cancer Institute within the National Institutes of Health. This role involves optimizing existing data analysis pipelines, developing new ones for integrating complex genomic data, and managing data visualization and reporting for clinical sequencing projects.

Requirements

Master’s degree in Bioinformatics or related field of study
Skilled in R
Skilled in Next gen sequencing data analysis: Bulk RNA-Sequencing
Skilled in Single Cell RNA-Sequencing
Experience working with large data sets

Nice To Haves

Ability to communicate effectively, orally and in writing, with non-technical and technical staff
Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects

Responsibilities

Use existing infrastructure and optimize Exome/Targeted/RNA Sequencing Data Analysis pipelines for clinical sequencing projects.
Develop pipelines to integrate complex genomic data including germ line, somatic DNA mutations, RNAseq and SNP assays.
Work with staff on the production of a data compendium enumerating the frequency of variations from tumor/normal samples.
Install and maintain local version of cBIO Portal. Upload Labs Data on cBIO Portal for easy visualization.
Work with staff to utilize NIH Biowulf computer clusters to process data streamed off the next generation sequencers (NGS); process data in a batch mode.
Perform biological sequence analysis/assembly and public genome databases.
Collect and review data; analyze and interpret data and results; provide reports based on analysis of scientific data.
Report research outcomes and make recommendations for future work.
Work with staff on data visualization to support the preparation of presentations and manuscripts for submission to scientific journals.
Bioinformatics Lab meetings, scheduling and notes writing.
Co-write manuscripts.
Develop annotation algorithms and databases with all publically available data including Annovar, 1000genomes, ExAC, MyCancerGenome, ClinSeq, ESP, ClinVar, HGMD and other databases as released.
Develop new algorithms for analysis of next generation sequencing and other genomics data.
Support implementation of publically available tools in local server environment.
Write manuals to implement tools for other users.
Teach staff to use NGS and other genomic analysis tools.
Provide advice to staff about data analysis pipelines.