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Bioinformatics Data Scientist Jobs in Arizona (NOW HIRING)

Bioinformatics Scientist

Tucson, AZ · On-site

$62 - $90/hr

Bioinformatics Scientist Tucson, United States | Posted on 08/27/2026 Our client, a worldleader in ... Troubleshoot data quality, integrity, accessibility, and analytical issues across diagnostic and ...

New

Bioinformatics Scientist

Tucson, AZ · On-site

$62 - $90/hr

Bioinformatics Scientist Tucson, United States | Posted on 08/27/2026 Our client, a worldleader in ... Troubleshoot data quality, integrity, accessibility, and analytical issues across diagnostic and ...

New

Scientist - Bioinformatics

Phoenix, AZ · On-site

$120 - $180/hr

Collaborate with research, clinical, and data scientists to identify computational needs, translate ... Stay abreast of emerging bioinformatics tools, techniques, and best practices, and work to ...

Be Seen First

Troubleshoot bioinformatics and data-quality issues to ensure the integrity, accessibility, and ... Perform scientific and business analyses to address the needs of internal and external stakeholders.

Be Seen First

Bioinformatics Scientist Location: Tucson, AZ Duration: 12+ Months PR: $65/hr : We are seeking a ... Provide hands-on troubleshooting to ensure data quality, integrity, and accessibility across the ...

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Support end-to-end genomic data analysis, including quality control, alignment, variant calling ...

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Support end-to-end genomic data analysis, including quality control, alignment, variant calling ...

Manager - Bioinformatics

Phoenix, AZ · On-site

$150 - $210/hr

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Support end-to-end genomic data analysis, including quality control, alignment, variant calling ...

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Showing results 1-20

Bioinformatics Data Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do bioinformatics data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for bioinformatics data scientist in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a bioinformatics data scientist?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

What types of projects does a bioinformatics data scientist typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What are the key skills and qualifications needed to thrive as a bioinformatics data scientist?

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

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

The most popular types of Bioinformatics Data Scientist jobs in Arizona are:

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

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

What cities in Arizona are hiring for Bioinformatics Data Scientist jobs?

Cities in Arizona with the most Bioinformatics Data Scientist job openings:

Infographic showing various Bioinformatics Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Bioinformatics Scientist

Dawar Consulting

Tucson, AZ • On-site

$62 - $90/hr

Other

Medical, Retirement

Posted 2 days ago

New


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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