Bioinformatician: Job Code: 23-086

Full-Time: Bioinformatician (Hybrid)Required Skills & Qualifications:Masters/PhD degree in Biostatistics, Informatics, or related field of study. Bioinformatics major preferred.One to two years of bioinformatics, biostatistics, or statistics experience.Requires proficiency with JMP, SAS, R, or other statistical software.Experience with next-generation biological datasets such as ATACseq, RNAseq, DNAseq, etc.Experience applying statistical analysis and machine learning algorithms.Experience with data wrangling and data visualization.Experience with building *nix system bash pipeline.Experience with markdown and version control systems.Experience in biochemistry, algorithms/complexity theory, biostatistics, and bioinformatics.Strong statistical background of various analytic methodologies such as hypothesis testing, regression, model selection, generalized linear models, PCA, cluster analysis, and meta-analysis.Ability to handle large-scale data manipulation, analysis, and interpretation of results.Solid computational skills to build data models and develop reusable scripts/packages/applications using R, Python, SAS or other statistical and/or mathematical programming packages.Ability to work as a member of a team.Ability to work well under pressure and meet multiple and sometimes conflicting deadlines.Ability to interact in an appropriate and professional manner.Demonstrated cooperative behavior and positive problem-solving and conflict resolution skills.Available to work dependable, flexible shift.Description of Duties:Conduct statistical analyses using statistical software and summarize results for publication/grants using Word, Excel, and PowerPoint.Work with internal investigators to design studies and interpret results of statistical analyses and obtain and manage large datasets.Create reproducible markdown reports detailing data cleaning, processing, normalization, analysis, and visualization.Apply statistic and machine learning algorithms to derive biological meaning from data.Process and analyze genome, metagenome, and transcriptome data.Pathway and gene functional analysis.Extracting and working with large public databases of biological data (e.g., NCBI).Stay up to date with the current and accepted methods for platform-specific data processing and analysis.Data wrangling and data manipulation.Data organization and version control.Other duties as may be assigned.Salary Range: $90,000-$120,000

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