Location: Torrance,CA, USA
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 bioinformatics tools to 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 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, 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 practice, 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. Competencies Ability to communicate effectively, both in writing and orally. Ability to establish and maintain effective working relationships with employees at all levels throughout the institution. Evidence of working in collaborative teams and positively contributing to others' projects. Demonstrated commitment and leadership ability to advance diversity and inclusion.
* 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 Pathway and gene functional analysis Extracting and working with large public databases of biological data (eg 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: $80,000-$100,000/yr.