Bioinformatics Scientist

DAWAR CONSULTING INC; Tucson (AZ); On-site; USD 62,000 - 90,000; Full time

Job summary

DAWAR CONSULTING INC is seeking a Bioinformatics Scientist for a Tucson, AZ long-term contract. You will design and optimize sequencing experiments and develop robust bioinformatics pipelines for diagnostic data analysis.

Qualified candidates have 7+ years in bioinformatics, expertise in scRNA-seq, 10x Genomics workflows, and strong Python or R skills, with the ability to visualize complex data and convey findings to diverse stakeholders.

Qualifications

• Seven-plus years of experience in bioinformatics, computational biology or related field.
• Experience with DNA/RNA sequencing data analysis.

Responsibilities

• Collaborate with multidisciplinary teams to design, optimize, and troubleshoot high-throughput sequencing and scRNA-seq experiments.
• Develop, implement, and maintain bioinformatics pipelines and analytical tools for assay development and data analysis.
• Analyze and interpret DNA, RNA, germline, cfDNA, NGS and multiomics data.
• Support the full assay development lifecycle from sequencing to production implementation.
• Partner with wet lab scientists to streamline workflows and improve data quality and reproducibility.
• Create clear visualizations and reports communicating findings to stakeholders.

Skills

Python

R

Bioinformatics

scRNA-seq

NGS

Data visualization

Pipelines

Education

Bachelor's degree in Bioinformatics

PhD in Bioinformatics

Master's degree in Bioinformatics

Tools

10x Genomics

C++

Java

HPC / Cloud

Job description

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

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.