Bioinformatics Scientist

Bioinformatics Scientist

Tucson, United States | Posted on 08/27/2026

Our client, a world leader in biotechnology and life sciences, is looking for a  Bioinformatics Scientist” in Tucson, AZ.

Job Duration:

Long Term Contract(Possibility Of Extension)

Pay Rate : $45 - 65/hr on W2

DOE

Company Benefits: Medical, Paid Sickleave, 401K

The successful candidate will bring strong expertise in
NGS, scRNA-seq, multiomics, and bioinformatics data analysis
and will collaborate closely with molecular biologists, computational scientists, and wet lab teams to develop, optimize, and maintain bioinformatics tools, algorithms, and analytical workflows.

• Collaborate with multidisciplinary teams of molecular biologists, computational biologists, and wet lab scientists to design, optimize, and troubleshoot high-throughput sequencing and
  single-cell RNA sequencing (scRNA-seq)experiments.
• Develop, implement, and maintain bioinformatics pipelines and analytical tools supporting assay development and diagnostic data analysis.
• Analyze and interpret
  DNA, RNA, germline, cell-free DNA, NGS, scRNA-seq, and multiomics data
  .
• Support the complete assay development lifecycle, including initial sequencing, analytical validation, troubleshooting, and production implementation.
• Partner with wet lab scientists to streamline bioinformatics workflows and improve assay development efficiency, data quality, and reproducibility.
• Troubleshoot data quality, integrity, accessibility, and analytical issues across diagnostic and research workflows.
• Develop scalable, reproducible, and well-documented algorithms, tools, and workflows.
• Create clear visualizations and reports to communicate complex biological and computational findings to technical and non-technical stakeholders

• Bachelor's degree with7+ years of relevant experience
  in Bioinformatics, Computational Biology, Genomics, or a related field.
• Strong expertise in
  DNA/RNA sequencing and bioinformatics data analysis
  .
• Hands-on experience with
  single-cell RNA sequencing (scRNA-seq)analysis and interpretation.
• Experience with
  10x Genomics analysis workflows
  .
• Proficiency in
  Python and/or Rprogramming.
• Experience developing and maintaining bioinformatics pipelines and analytical workflows.
• Experience creating clear and insightful visualizations of complex biological data.

• Ph.D. in
  Bioinformatics, Computational Biology, Statistics, or a related discipline
  , with relevant industry experience.
• Master's degree in Bioinformatics, Computational Biology, Statistics, or a related field with relevant industry experience.
• Experience in
  clinical diagnostics, molecular diagnostics, biotechnology, or a related industry
  .
• Experience with
  multiomics data analysis
  .
• Knowledge of diagnostic assay development, validation, and production workflows.
• Experience with distributed computing, high-performance computing, or cloud-based bioinformatics environments.
• Proficiency inC++ or Java
  is a plus.