Bioinformatics Scientist

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.

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