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.

• 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
  

• Bachelors 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.
  

• Ph.D. in Bioinformatics Computational Biology Statistics or a related discipline with relevant industry experience.
  
• Masters 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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