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 reproductible 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