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Computational Scientist Jobs in Arizona (NOW HIRING)

Bioinformatics Scientist

Tucson, AZ · On-site

$62 - $90/hr

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 ...

Bioinformatics Scientist

Tucson, AZ · On-site

$62 - $90/hr

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 ...

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In this role, you will collaborate closely with molecular and computational biologists, wet lab scientists, internal stakeholders, and academic collaborators. You will help design sequencing ...

Scientist - Bioinformatics

Phoenix, AZ · On-site

$120 - $180/hr

Collaborate with research, clinical, and data scientists to identify computational needs, translate scientific and clinical questions into analytical workflows, and provide guidance for data ...

As our Research Scientist , you will leverage your deep scientific knowledge to support and ... D. in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, or related field

The primary deliverables of this role are computational pipelines, ML models, and exploratory data outputs. The Center for Innovation in Brain Science is an "all brains on deck" research environment ...

Science Work Arrangement: Hybrid Posting Start Date: 8/26/26 Posting End Date: 9/26/26 About the ... In this role you will use Computational Fluid Dynamics (CFD) expertise to provide support for ...

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Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing scRNAseq ...

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Computational Scientist information

See Arizona salary details

$47.1K

$103.8K

$128.1K

How much do computational scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for computational scientist in Arizona is $103,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $127,700.00 per year, depending on experience, location, and employer.

What is a computational scientist?

A Computational Scientist uses advanced computing techniques, algorithms, and simulations to solve complex scientific and engineering problems. They work across various fields, such as physics, biology, chemistry, and engineering, developing models and running simulations to analyze large datasets. Their role often involves programming, data analysis, and collaboration with domain experts to gain insights and make predictions.

What does a computational scientist do?

A typical day for a Computational Scientist may involve developing and running computer simulations, analyzing large datasets, or creating algorithms to address complex scientific problems. You might spend time coding, troubleshooting computational models, collaborating with researchers or engineers, and documenting your findings. The work often involves both independent problem-solving and teamwork within multidisciplinary groups. Additionally, presenting results, preparing research papers, or contributing to grant proposals could be regular tasks, depending on your specific employer and industry. This dynamic role offers a blend of technical challenges and opportunities for innovation.

What skills and qualifications are needed to thrive as a computational scientist?

To thrive as a Computational Scientist, you need strong analytical skills, advanced knowledge of mathematics and computer science, and typically a graduate degree in a quantitative field such as physics, engineering, or computer science. Familiarity with programming languages like Python, R, or C++, experience with high-performance computing, and tools such as MATLAB or scientific visualization software are vital. Excellent problem-solving abilities, collaboration, and effective communication skills make someone stand out in this position. These skills are crucial for developing models, analyzing complex data, and communicating scientific insights to interdisciplinary teams.

What are the career paths in computational science?

Computational scientists can pursue career paths in academia, industry, or government research, often specializing in areas like data analysis, modeling, or simulation. They may advance to senior scientist, research director, or interdisciplinary roles, and typically develop skills in programming, statistical analysis, and domain-specific knowledge. Certifications in programming languages or data management can enhance career progression.

What are the most commonly searched types of Computational Scientist jobs in Arizona?

The most popular types of Computational Scientist jobs in Arizona are:

What job categories do people searching Computational Scientist jobs in Arizona look for?

The top searched job categories for Computational Scientist jobs in Arizona are:

What cities in Arizona are hiring for Computational Scientist jobs?

Cities in Arizona with the most Computational Scientist job openings:

Infographic showing various Computational Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 8% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,759 per year, or $49.9 per hour.

Bioinformatics Scientist

Dawar Consulting

Tucson, AZ • On-site

$62 - $90/hr

Other

Medical, Retirement

Posted 4 days ago


Job description

Bioinformatics Scientist

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

Our client, a worldleader in biotechnology and life sciences, is looking for a\" Bioinformatics Scientist” in Tucson, AZ.

Job Duration:LongTerm Contract(Possibility Of Extension)

Pay Rate : $45 - 65/hr on W2DOE

Company Benefits: Medical, Paid Sickleave, 401K

The successful candidate will bring strong expertise inNGS, scRNA-seq, multiomics, and bioinformatics data analysisand 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 andsingle-cell RNA sequencing (scRNA-seq)experiments.
  • Develop, implement, and maintain bioinformatics pipelines and analytical tools supporting assay development and diagnostic data analysis.
  • Analyze and interpretDNA, 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 with7+ years of relevant experiencein Bioinformatics, Computational Biology, Genomics, or a related field.
  • Strong expertise inDNA/RNA sequencing and bioinformatics data analysis.
  • Hands-on experience withsingle-cell RNA sequencing (scRNA-seq)analysis and interpretation.
  • Experience with10x Genomics analysis workflows.
  • Proficiency inPython and/or Rprogramming.
  • Experience developing and maintaining bioinformatics pipelines and analytical workflows.
  • Experience creating clear and insightful visualizations of complex biological data.
Preferred Qualifications
  • Ph.D. inBioinformatics, 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 inclinical diagnostics, molecular diagnostics, biotechnology, or a related industry.
  • Experience withmultiomics 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 Javais a plus.
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