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Title: Bioinformatics / Biostatistics Analyst
Location: Laurel, Maryland
The Bioinformatics / Biostatistics Analyst will provide support in the field of microbial genomics and eukaryotic epigenetics, and will interact directly with principal investigators, while participating concurrently in several research projects. The candidate will implement solutions for analyzing, visualizing, and interpreting data from: NGS of DNA, genomic microarrays, gene expression (RNA-seq and microarrays), ChIP-seq, and bisulfite-seq, from individual strains as well as microbial communities (metagenomic studies), and from eukaryotic in vitro studies; using Affymetrix, Illumina and Ion Torrent platforms.
Job Duties:
• Work with genome-scale datasets generated with Illumina/Ion Torrent platforms, custom high density microarrays (Affymetrix), and whole genome optical maps (Opgen).
• Process and manipulate microbial DNA sequence.
• Process eukaryotic cell ChIP-Seq and bisulfite-seq data.
• Manipulate multidimensional data generated from environmental/community profiling and taxonomic resolution for comparative study.
• Evaluate correlation between genomic microarray and NGS DNA data of microbiome samples to assess community shifts.
• Establish production pipeline starting with raw sequence reads generated from whole genome, metagenome (both 16S and shotgun), and RNA-seq projects, through de novo/comparative assembly, and annotation.
• Must be familiar with all phases/types of NGS output and back-end interfacing with primary molecular biologists including identification of unique SNP-, gene, and epigenetic-level data.
• Use scripting language to extract meaningful data from results and implement custom analysis solutions as necessary.
• Perform other related duties incidental to work described herein.
Required Skills/Qualifications:
• MS Degree in Bioinformatics or relevant field required.
• Minimum of three (3) years of experience in bioinformatics, computational biology, and biostatistics.
• Experience with open-source software, tools, and databases for analyzing NGS data.
• Programming proficiency in Perl, C++, Java.
• Experience with relational database management systems desired.
• Previous experience in microbial genomics preferred.
• Ability/desire to transition to proteomic analysis (mass spec data) considered a plus
• Strong interpersonal, communication, writing, organizational, and analytical skills, and able to lead by example.
• Self-Motivated, eager to assimilate new biological knowledge, and able to demonstrate critical thinking.
• Must be able to interpret results post analysis and communicate with biologists.
• Excellent written and oral communications skills in English required.
• Must possess permission to work in the United States.
Goldbelt Falcon is an Equal Employment Opportunity Employer
Candidates are encouraged to apply on our website
and
[email protected]
Location: Laurel, Maryland
The Bioinformatics / Biostatistics Analyst will provide support in the field of microbial genomics and eukaryotic epigenetics, and will interact directly with principal investigators, while participating concurrently in several research projects. The candidate will implement solutions for analyzing, visualizing, and interpreting data from: NGS of DNA, genomic microarrays, gene expression (RNA-seq and microarrays), ChIP-seq, and bisulfite-seq, from individual strains as well as microbial communities (metagenomic studies), and from eukaryotic in vitro studies; using Affymetrix, Illumina and Ion Torrent platforms.
Job Duties:
• Work with genome-scale datasets generated with Illumina/Ion Torrent platforms, custom high density microarrays (Affymetrix), and whole genome optical maps (Opgen).
• Process and manipulate microbial DNA sequence.
• Process eukaryotic cell ChIP-Seq and bisulfite-seq data.
• Manipulate multidimensional data generated from environmental/community profiling and taxonomic resolution for comparative study.
• Evaluate correlation between genomic microarray and NGS DNA data of microbiome samples to assess community shifts.
• Establish production pipeline starting with raw sequence reads generated from whole genome, metagenome (both 16S and shotgun), and RNA-seq projects, through de novo/comparative assembly, and annotation.
• Must be familiar with all phases/types of NGS output and back-end interfacing with primary molecular biologists including identification of unique SNP-, gene, and epigenetic-level data.
• Use scripting language to extract meaningful data from results and implement custom analysis solutions as necessary.
• Perform other related duties incidental to work described herein.
Required Skills/Qualifications:
• MS Degree in Bioinformatics or relevant field required.
• Minimum of three (3) years of experience in bioinformatics, computational biology, and biostatistics.
• Experience with open-source software, tools, and databases for analyzing NGS data.
• Programming proficiency in Perl, C++, Java.
• Experience with relational database management systems desired.
• Previous experience in microbial genomics preferred.
• Ability/desire to transition to proteomic analysis (mass spec data) considered a plus
• Strong interpersonal, communication, writing, organizational, and analytical skills, and able to lead by example.
• Self-Motivated, eager to assimilate new biological knowledge, and able to demonstrate critical thinking.
• Must be able to interpret results post analysis and communicate with biologists.
• Excellent written and oral communications skills in English required.
• Must possess permission to work in the United States.
Goldbelt Falcon is an Equal Employment Opportunity Employer
Candidates are encouraged to apply on our website
and
[email protected]