International Executive Service Corps
Bioinformatician
International Executive Service Corps, Torrance, California, United States, 90504
Full-Time: Bioinformatician
Required Skills & Qualifications
:
Masters/PhD degree in Bioinformatics, Molecular Biology, Computational Biology or related field of study. Bioinformatics major preferred.
One to two years of experience with bioinformatics tools for next-generation sequencing data (e.g. RNA sequencing, ChIP-seq, microbiome profiling) and/or related omics-level data (e.g. proteomics, metabolomics, mass cytometry).
Strong programming skills in common languages/packages used for bioinformatic and statistical analysis, especially R/Bioconductor/Tidyverse and/or Python.
Strong knowledge of statistical principles relevant to biomedical research.
Proven ability to contribute to the publication of scientific manuscripts.
Ability to analyze and solve complex problems and apply quantitative analytical approaches.
Proven self-initiative and ability to catalyze new projects or ideas.
Exceptional organizational and time management skills, with the ability to manage multiple projects and analysis requests.
Excellent written and verbal communication skills, as evidenced by publications and/or presentations.
Competency with Unix/Linux-based command line tools and shell scripting.
Experience running and troubleshooting jobs in high performance and/or cloud computing environments.
Familiarity with principles of reproducible data analysis and good coding practices, including version control.
Experience analyzing and mining clinical data, cancer genomics, and related data sets.
Advanced statistical knowledge as applied to bioinformatics/genomics.
Advanced statistical knowledge as applied to clinical trial design and analysis.
Experience with large scale data curation and management.
Experience with relational databases and SQL.
Experience with Shiny apps and/or web interface development.
Description of Duties
:
Create reproducible markdown reports detailing data cleaning, processing, normalization, analysis, and visualization.
Apply statistics and machine learning algorithms to derive biological meaning from data.
Process and analyze genome, metagenome, and transcriptome data.
Conduct pathway and gene functional analysis.
Extract and work with large public databases of biological data (e.g. NCBI).
Stay up-to-date with current and accepted methods for platform-specific data processing and analysis.
Perform data wrangling and data manipulation.
Maintain data organization and version control.
Other duties as may be assigned.
Salary Range: $80,000-$100,000/yr.
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Required Skills & Qualifications
:
Masters/PhD degree in Bioinformatics, Molecular Biology, Computational Biology or related field of study. Bioinformatics major preferred.
One to two years of experience with bioinformatics tools for next-generation sequencing data (e.g. RNA sequencing, ChIP-seq, microbiome profiling) and/or related omics-level data (e.g. proteomics, metabolomics, mass cytometry).
Strong programming skills in common languages/packages used for bioinformatic and statistical analysis, especially R/Bioconductor/Tidyverse and/or Python.
Strong knowledge of statistical principles relevant to biomedical research.
Proven ability to contribute to the publication of scientific manuscripts.
Ability to analyze and solve complex problems and apply quantitative analytical approaches.
Proven self-initiative and ability to catalyze new projects or ideas.
Exceptional organizational and time management skills, with the ability to manage multiple projects and analysis requests.
Excellent written and verbal communication skills, as evidenced by publications and/or presentations.
Competency with Unix/Linux-based command line tools and shell scripting.
Experience running and troubleshooting jobs in high performance and/or cloud computing environments.
Familiarity with principles of reproducible data analysis and good coding practices, including version control.
Experience analyzing and mining clinical data, cancer genomics, and related data sets.
Advanced statistical knowledge as applied to bioinformatics/genomics.
Advanced statistical knowledge as applied to clinical trial design and analysis.
Experience with large scale data curation and management.
Experience with relational databases and SQL.
Experience with Shiny apps and/or web interface development.
Description of Duties
:
Create reproducible markdown reports detailing data cleaning, processing, normalization, analysis, and visualization.
Apply statistics and machine learning algorithms to derive biological meaning from data.
Process and analyze genome, metagenome, and transcriptome data.
Conduct pathway and gene functional analysis.
Extract and work with large public databases of biological data (e.g. NCBI).
Stay up-to-date with current and accepted methods for platform-specific data processing and analysis.
Perform data wrangling and data manipulation.
Maintain data organization and version control.
Other duties as may be assigned.
Salary Range: $80,000-$100,000/yr.
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