The Jackson Laboratory is immediately seeking an Application Computational Scientist/Bioinformatics Analyst I-III/Research Data Analyst I-II to join our Computational Sciences group. These positions offer the opportunity to make leading contributions to cutting edge research in mouse genetics, disease biology, and translational research in collaboration with the faculty and genetic resource scientists and clients of The Jackson Laboratory (JAX). Cross campus and industry collaborations are encouraged.
These positions have primary responsibility for providing statistical and analytical bioinformatics expertise and interpretation in the scientific research programs at the Jackson Laboratory and its collaborative programs.
Key Responsibilities:
Develop, apply, maintain, and support cutting-edge pipelines for the analysis and interpretation of NGS data (DNA-Seq, RNA-Seq, ChIP-Seq, Bisulphite-Seq, ATAC-Seq etc.)
Dockerize and deployment of pipelines on cloud based computing environments (google cloud, AWS, Seven Bridges Systems)
Work with other scientist’s and developers to benchmark both internally and externally developed tools/pipelines to stay on the cutting edge of NGS data analysis
Help research faculty in experimental design of sequencing experiments and perform analysis of genetic & genomic data (in particular cancer genomic data)
Develop novel methods/tools to address the research questions
Perform genome assembly, finishing, genome annotation, variation detection, comparative genomics using state-of-the-art tools
Stay aware of emerging trends in NGS analysis processes and maintain expertise in application of genomic technologies
Working effectively in a team environment with individuals with varying levels of experience
Contribute to the drafting of manuscripts and grants
Requirements:
MS or PhD degree in Computational Biology, Bioinformatics, Genetics/Computer science (with significant Bioinformatics expertise) or related field. Recent graduates with relevant degree and expertise are encouraged to apply.
Candidates with a proven track record of “omics” data analysis (in particular in cloud environment), method development, independent collaborative work and leading contributions to a biological discipline would be given preference.
Solid knowledge of scripting languages (Perl, Python, R or Ruby), and Unix OS are strictly required.
Solid understanding of Illumina, and Pacific BioSciences Sequencing technology.
Experience working with Docker containers and cloud-based compute environments.
Experience with large genomic datasets including TCGA, ENCODE, 1000 Genomes Project, ExAC, gnomAD and related resources.
Experience in applying/developing computational algorithms and systems to support genetics and genomics research.
Experience with popular NGS analysis software (BWA, bowtie, GATK-suite, RSEM, SnpEff etc.)
Experience with de novo assembly software programs such Velvet, HGAP, ALLPATHS-LG, SOAPdenovo 2 and MIRA4 etc.
Strong track record of peer-reviewed publication in relevant scientific journals.
Independent decision making capabilities related to projects, excellent communication skills including skills necessary to present at the conferences and workshops, write study designs and analytical methods.
Apply online at www.jax.org/careers or email CV to careers@jax.org and include Job ID number in subject line.