Bioinformatics Supervisor, Public Health Lab - $74.18 / hr

Healthcare Staffing Professionals has an immediate need for a Bioinformatics Supervisor to support the Public Health Lab Program. The Bioinformatics Supervisor will provide analysis and computing support for microbiology-related research, including next-generation sequencing (NGS) data analysis. The Bioinformatics Supervisor will assist with the following : analytical method development; construction and curation of computation tools and databases; and data mining interpretation and analysis.

The positions will start immediately upon acceptance and employment clearance and are initially funded through 06 / 30 / 2025, with a strong chance of extension.

Pay Rate-

74.18 / hr working 40 hours a week

Benefits :

Paid Holidays, Paid Sick Time, PTO

Healthcare

Employer Fully Funded Healthcare (Anthem Blue Cross), Dental and Vision, Life Insurance from Initial Start Date.

Location :   Downey, CA

Skills / Experience :

• Six months experience as a lead Bioinformatician managing projects;
• Two years experience and proficiency in the following : sequencing analysis, processing and managing raw data generated from NGS techniques; NGS data generated on Illumina sequencing instruments, including the Nanopore and MiSeq platforms; using open source genomic analysis tools; using open source tools for the annotation and interpretation of genomic variants; utilizing public databases; developing tools and pipelines for NGS data analysis; working with large-scale NGS data in high performance cluster computing environments; using at least one of the following scripting languages : bash, Python, or Perl; conducting statistical analyses using R / Bioconductor; Unix / Linux system administration experience; and biostatistics and bioinformatics;
• Proficient knowledge of bioinformatics, basic statistics, microbial genetics, and molecular biology, and understanding of NGS workflow;
• Proficient ability to conduct the following : select and perform the most appropriate experimental design, analytical workflow, and analytic technique for different NGS data types; analyses that may include identifying SNPs, indels, phylogenetic analysis; read, interpret, and apply scientific literature and communicate with investigators on analysis outputs; and catalogue, regulate, and maintain integrity of data.

Desirable qualifications :