Bioinformatics Scientist

Dawar Consulting•Tucson, AZ

1d•Onsite

About The Position

Our client, a world leader in biotechnology and life sciences, is looking for a "Bioinformatics Scientist" in Tucson, AZ. This is a long-term contract position with the possibility of extension. 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.

Requirements

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.

Nice To Haves

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.

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.