Society for Conservation Biology
Computational Biologist - Human Genomics
Society for Conservation Biology, Fort Lee, New Jersey, us, 07024
Our genomics research aims to identify the strong and weak points in the human genome as they relate to health and disease risk. We're diving deep into human genomes to improve personalized medicine through personalized genomics.
With us, you'll get to:
Conduct in-depth analyses of whole genome, whole exome, epigenetic, and gene expression data to discover potential disease-associated traits and identify practical, actionable therapeutic targets for disease prevention and interventional therapyCompose personalized genomics reports resulting from extensive research on specific genetic conditions or diseases. This includes summarizing existing literature, as well as identifying and evaluating the effects of both known and novel genetic variants and determining their effects on diseaseConduct genomics analyses on next-gen sequencing data, including DNA variant calling, CNV and structural variation analyses, mitochondrial DNA variation, family-based analysis (transmission, de novo variants)Collaborate with other ICR team members to translate genetic/genomic findings into actionable pathways toward the discovery of potential treatments for everything from rare diseases, age-related disease and biological aging genetics
Please apply if you have:
PhD or another advanced degree in biomedical scienceIn-depth knowledge of personalized genomics, disease risk analysis (including polygenic risk modeling) and age-related disease geneticsExperience in computational, statistical or translational genomics/geneticsExtensive programming experience and working knowledge of diverse programming languages (especially Python and R); ability to work in Linux
Ideally, you'll also have:
Experience in variant curationExperience with methods for disease risk prediction using primarily genetic data (e.g. polygenic models), but also with the possibility of integrating any number of epigenetic, transcriptomic, proteomic, metabolomic, etc. datasetsKnowledge of Bayesian statistical methods and biostatistics in general
And you'll need:
The ability to work in the United States without sponsorshipTo have an easygoing, hard-working personalitySalary
Starting
base pay range:
$155,000/yr - $225,000/yr
Starting additional compensation range:
$15,000/yr - $40,000/yr
Starting position title and compensation are commensurate with experience.#J-18808-Ljbffr
With us, you'll get to:
Conduct in-depth analyses of whole genome, whole exome, epigenetic, and gene expression data to discover potential disease-associated traits and identify practical, actionable therapeutic targets for disease prevention and interventional therapyCompose personalized genomics reports resulting from extensive research on specific genetic conditions or diseases. This includes summarizing existing literature, as well as identifying and evaluating the effects of both known and novel genetic variants and determining their effects on diseaseConduct genomics analyses on next-gen sequencing data, including DNA variant calling, CNV and structural variation analyses, mitochondrial DNA variation, family-based analysis (transmission, de novo variants)Collaborate with other ICR team members to translate genetic/genomic findings into actionable pathways toward the discovery of potential treatments for everything from rare diseases, age-related disease and biological aging genetics
Please apply if you have:
PhD or another advanced degree in biomedical scienceIn-depth knowledge of personalized genomics, disease risk analysis (including polygenic risk modeling) and age-related disease geneticsExperience in computational, statistical or translational genomics/geneticsExtensive programming experience and working knowledge of diverse programming languages (especially Python and R); ability to work in Linux
Ideally, you'll also have:
Experience in variant curationExperience with methods for disease risk prediction using primarily genetic data (e.g. polygenic models), but also with the possibility of integrating any number of epigenetic, transcriptomic, proteomic, metabolomic, etc. datasetsKnowledge of Bayesian statistical methods and biostatistics in general
And you'll need:
The ability to work in the United States without sponsorshipTo have an easygoing, hard-working personalitySalary
Starting
base pay range:
$155,000/yr - $225,000/yr
Starting additional compensation range:
$15,000/yr - $40,000/yr
Starting position title and compensation are commensurate with experience.#J-18808-Ljbffr