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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH
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Apply now » Title: Postdoctoral Associate- Statistical Genetics Division: Human Genome Sequencing Center Schedule: Monday - Friday; 9:00 a.m. - 5:00 p.m. Work Location: Houston, TX Salary Range: Per
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basic statistics and sharing results with study team. Prepares abstracts and/or manuscripts. Maintains the study data and can work well with Electronic Data Capture systems in the institution such as
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basic statistics and sharing results with study team. Prepares abstracts and/or manuscripts. Maintains the study data and can work well with Electronic Data Capture systems in the institution such as
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statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in Python). Candidates must have a Ph.D. in Computer
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well as data and statistical analysis. The postdoctoral researcher is also expected to lead clinical studies and participate in research involving human subjects. They will interact directly with clinicians
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regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in Python). Candidates must have
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peer-reviewed publications and/or software packages. Knowledge about statistics and machine learning algorithms. Strong programming skills (R and Python/Perl/Java) Programming in UNIX/LINUX environment
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next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical methods to answer biological
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, scRNAseq, and proteomics datasets. There will also be opportunities to develop statistical methods and computational pipelines to streamline and improve the analysis and trainees on clinically impactful