Bioinformatics Analyst/Genomic Data Scientist

Location
Frederick, MD, USA
Posted
Nov 01, 2018
Ref
JR80-21195
Hotbed
BioCapital
Required Education
Bachelors Degree
Position Type
Full time
The newly established NCI Single Cell Analysis Facility (SCAF) is looking for a skilled and motivated bioinformatic analyst to support an ambitious initiative to provide single cell technology access and innovation to NCI Investigators working on cutting-edge basic science and translational research at the NIH. This position is within the Advanced Biomedical and Computational Sciences (ABCS), which is a part of the Biomedical Informatics and Data Science (BIDS) Directorate at Leidos Biomedical Research, Inc.

KEY ROLES/RESPONSIBILITIES
  • Responsible for providing bioinformatics support including project consultation, experimental design, data management and analysis of high throughput sequencing data from single cell technologies, relying largely on next-generation sequencing
  • Perform single-cell genetic and transcriptional analysis to determine tumor heterogeneity, clonal evolution, immune signatures, mechanism of resistance, and pathways underlying variation in therapeutic effectiveness
  • Design, develop and maintain robust analysis workflows and software pipelines, as well as custom scripts, to support the analysis of high-throughput sequencing data
  • Provide biological interpretation of analysis results and present analysis results in a clear and concise manner, to scientific audiences
  • Be an integral component in the training and support of single cell data analysis to allow better understanding and use of the data generated by the Single Cell Analysis Facility
  • Work effectively as a member of a team; coordinate activities among groups located at the Bethesda, Frederick, and Rockville NCI campuses; follow sound scientific practices and maintain effective documentation of activities and analyses

BASIC QUALIFICATIONS
  • Bachelor's degree in biomedical science/bioinformatics/math/computer science related field from an accredited college or university according to the Council for Higher Education Accreditation.
  • Experience in a biological research laboratory environment with a background in bioinformatics application development
  • Experience in genomic and sequence analysis such as RNA-seq, Exome-seq, Chip-seq and metagenomics analysis, construction of data processing pipelines, and quality control/quality assurance analysis
  • Hands-on experience in next generation sequencing analysis, including data quality assessment, sequencing data assembling, mapping, mutation and structural variation analysis, gene/transcript profiling and splicing analysis
  • Hands-on experience with commercial and open-source bioinformatics and NGS data analysis tools is required
  • Proficiency in Unix/Linux scripting
  • Proficiency in one or more programming languages such as Python, R, Java, PERL
  • Must be able to obtain and maintain a clearance

PREFERRED QUALIFICATIONS
  • Masters or PhD degree preferred
  • Experience in NGS sequencing technology and molecular biology
  • Experience in single-cell genomic and transcriptomic sequencing technologies and data analyses
  • Experience in multi-omic data integration and complex data visualization
  • Knowledge of cancer biology
  • Familiarity with publically available data sources such as ENCODE, Ensembl, NCBI, TCGA, cBioPortal, Broad FireHose
  • Experience using cloud computing and/or high-performance computing systems for NGS analysis
  • Commitment to solving biological problems and communicating these solutions. Proven success in independent efforts and delivering high quality data with biological relevance to customers.

Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)