Job DescriptionBioinformatics ScientistFull Time Direct Hire Remote positionAre you looking for bioinformatics work? Are you interested in joining a team of talented bioinformaticians dedicated to understanding the genetics of cancer? In this role you will:* Function as a scientific thought leader within for all aspects of GWAS and population genetics. Collaborate closely with PIs on scientific manuscript development, submission, and revision activities with significant co-authorship and potentially first authorship opportunities* Guide large-scale genotyping data QC, phasing and imputation activities* Execute population structure testing, association studies, meta-analysis, and fine mapping* Contribute to building, benchmarking, and maintaining bioinformatics pipelines to facilitate high through put genomic data analysis in HPC and cloud environments* Harmonize and maintain diverse datasets and associated metadata, including performing meta-analyses of data run on multiple platforms and/or externally generated data* Thoughtfully synthesize results into clear presentations (including QQ-plots, Manhattan plots) and concise summaries of work to support recommendations for next steps* Perform advanced research including multiplicative interaction studies, pathway-based studies, and integrative analyses from multiple platforms and various data types* Coordinate with additional resources, including fellows, post-docs, other contract resources to support an integrative, collaborative, collegial environmentInterested? Well qualified candidates will bring:* Possession of a PhD degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, statistics, genetics, computational biology or related field or eight (8) years of related experience. Foreign degrees must be evaluated for U.S. equivalency* Experience in scientific and/or complex system management/bioinformatics experience* In-depth knowledge of genome-wide association studies and interpretation, and applied computational research on large multivariate datasets* Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor, Python, MATLAB, and a wide range of contemporary, open-source bioinformatics tools (e.g. PLINK, SNPTEST, IMPUTE2, BEAGLE, UCSC Genome Browser, Michigan Imputation Server, etc.)* Proficiency with Bash, Python, Perl, R, C/C++, and/or JAVA* Team-oriented with excellent written and verbal communication skills, organizational skills, and attention to detail; ability to organize and execute multiple projects in parallel* Demonstrated ability to proactively remain up-to-date in current bioinformatics techniques and resources, and identify and benchmark novel software solutions against established reference datasets* Experience in constructing practical computational tools/pipelines for data parsing, quality control, modelling, and analysis for large-scale genetic or genomics datasetsApply today to learn more about this excellent FT Direct Hire opportunity to be a part of ground breaking research!
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