Bioinformatics Scientist Location:

Hybrid 1910

East Innovation Park Drive, Tucson, AZ Pay Rate:

$45 $65/hour, based on experience

Duration:

3-year contract with potential for extension and/or permanent placement

Benefits:

Weekly pay and healthcare benefits The Position We are seeking a talented and highly motivated Bioinformatics Scientist to support a leading diagnostics research and early development team. This role will work closely with molecular biologists, computational scientists, wet-lab researchers, and cross-functional stakeholders to develop and optimize bioinformatics tools, workflows, and analytical pipelines. Key Responsibilities Collaborate with molecular and computational biologists to design, optimize, and troubleshoot high-throughput sequencing and scRNA-seq experiments. Develop and maintain bioinformatics pipelines and analytical tools supporting NGS, scRNA-seq, and multiomics data. Provide bioinformatics expertise throughout assay development, including sequencing, validation, and production implementation. Partner with wet-lab scientists to improve workflows, data quality, and assay development efficiency. Troubleshoot data quality, integrity, and accessibility issues across diagnostic workflows. Document, scale, and promote best practices for reproducible bioinformatics tools and workflows. Communicate scientific findings, project outcomes, and progress to cross-functional teams and stakeholders. Qualifications Bachelor's degree with 7+ years of relevant experience . Master's degree in Bioinformatics, Computational Biology, Statistics, or related field with 5+ years of industry experience , or PhD with 2+ years of industry experience preferred. Strong expertise in DNA/RNA sequencing and scRNA-seq data analysis and interpretation . Hands-on experience with 10X Genomics analysis workflows . Proficiency in Python and/or R and experience working in a distributed Linux environment. Strong understanding of molecular biology and next-generation sequencing laboratory processes. Experience creating clear and insightful visualizations of complex biological datasets. Strong communication, collaboration, troubleshooting, and presentation skills. #TMRD