Bioinformatics Scientist

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 Sick leave, 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.

Key Responsibilities

• 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
  

Required Qualifications

• Bachelor's degree with 7+ 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 R programming.
  
• Experience developing and maintaining bioinformatics pipelines and analytical workflows.
  
• Experience creating clear and insightful visualizations of complex biological data.
  

Preferred Qualifications

• 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 in C++ or Java is a plus.
  

If interested, please send us your updated resume at

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