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The Enterprise Solutions Group within Life Technologies is a global provider of end-to-end solutions for establishing Genomic Medicine Infrastructure at the population-scale, with a global base of customers at the level of national governments. The operational portions of these projects involve large-scale genetics studies to catalog normal and disease variation in entire populations. Studies will utilize state-of-the-art laboratory facilities deployed by the Enterprise Group, which integrate and leverage Life Technologies broad product portfolio of Life Science tools, including the Ion Torrent semi-conductor sequencing technology. Data will consist primarily of human genome sequence data from gene panels, exomes and whole genomes.
We are seeking highly motivated individuals who will make a large impact on human disease. You will be an integral part of an enthusiastic and dedicated team of Bioinformaticians and Software Engineers working towards solving genetic disease utilizing Next Generation Sequencing in collaboration with geneticists and medical research collaborators. This job is an exciting opportunity for someone willing to take on design, validation and data analysis of gene-panel and genome-scale re-sequencing projects aimed at clinical research and clinical applications. This person will participate in large population-wide studies of genetic disease using gene-panels and whole genome re-sequencing, utilizing their knowledge of existing algorithms, statistical techniques, and a variety available open source and commercial software. This position also requires an understanding of complex scientific problems in order to implement novel algorithms and solutions when needed.
Responsibilities:
* Support the specification of highly multiplexed amplicon sequencing panels for various disease-associated genes utilizing the Ion Torrent AmpliSeq Design technology in collaboration with clinicians and geneticists.
* Integrate and optimize existing panel design algorithms, variant detection, annotation, and reporting bioinformatics tools.
* Collaborate with sequencing teams and clinical researchers to qualify panel performance.
* Conduct statistical analysis for gene-panel human re-sequencing projects.
* Provide rapid and responsive bioinformatics support to population study projects for gene panels and genome re-sequencing.
Qualifications:
* MS/PhD in Bioinformatics, Computer Science, Human Genetics, Computational Genetics, Biology, or related field. Software Engineering is not required, but experience in Software Development practices is a plus.
* Experience with primer design, SNP tag selection, Gene Panels, with related experience on NGS and/or CE platforms a plus.
* Experience with analysis of human re-sequencing experiments from primary analysis to resulting genetic interpretation.
* Expertise in scripting languages (Python, Perl), mathematics software (R, Matlab, Mathematica), and object-orient programming (with Java/C++).
* Experience with a Linux/Unix development environment.
* Excellent written and verbal communications skills.
* Highly motivated and able to work with minimal supervision in a collaborative, team-oriented environment.
* Desire to continuously learn new things across disciplines of genetics, biology, software engineering, bioinformatics and statistical analysis.