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Bioinformatic Analyst Jobs in Arizona (NOW HIRING)

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This role requires a broad understanding of bioinformatic analysis across diverse technologies, including NGS, scRNAseq, and multiomics. The successful candidate will collaborate closely with wet lab ...

Bioinformatics Scientist

Tucson, AZ · On-site

$62 - $90/hr

Bioinformatics Scientist Tucson, United States | Posted on 08/27/2026 Our client, a worldleader in ... Analyze and interpret DNA, RNA, germline, cell-free DNA, NGS, scRNA-seq, and multiomics data

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Lead analytical development and validation activities for NGS assays, including performance ... Ensure bioinformatics processes comply with applicable quality, regulatory, documentation, privacy ...

Scientist - Bioinformatics

Phoenix, AZ · On-site

$120 - $180/hr

Knowledge and analytic skills managing bioinformatics data including FASTQ, BAM, and VCF ... Programming experience with Python, bash, SQL, GIT.Experience with AWS services (e.g., Lambda, Step ...

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You will help design sequencing experiments, develop and maintain analytical pipelines, troubleshoot complex biological datasets, and build scalable bioinformatics tools that support diagnostic assay ...

As a Bioinformatics Staff Scientist, you will be responsible for conducting and supervising analysis of large- scale, high-dimensional biological data from biobanks and longitudinal cohorts, and ...

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Bioinformatic Analyst information

See Arizona salary details

$28.9K

$68.3K

$121.1K

How much do bioinformatic analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for bioinformatic analyst in Arizona is $68,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $81,100.00 per year, depending on experience, location, and employer.

What does a bioinformatic analyst do?

A Bioinformatic Analyst uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work closely with researchers and scientists to interpret complex datasets, identify patterns, and draw meaningful conclusions that can advance scientific understanding or medical research. Their responsibilities may include processing raw data, developing algorithms, and creating visualizations to present results. Bioinformatic Analysts often work in fields like genomics, pharmaceuticals, and biotechnology.

What are the key skills and qualifications needed to thrive as a bioinformatic analyst?

To thrive as a Bioinformatic Analyst, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with next-generation sequencing (NGS) data analysis tools, and familiarity with databases such as GenBank are typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for extracting meaningful insights from biological data and advancing research or clinical objectives.

What are some common challenges a bioinformatic analyst faces when working with large-scale genomic data?

One of the primary challenges for Bioinformatic Analysts is managing and analyzing massive datasets generated by next-generation sequencing technologies. Ensuring data quality, handling data storage, and optimizing computational resources are critical aspects of the role. Analysts must also develop or adapt pipelines to process complex data efficiently and accurately, often collaborating closely with biologists, statisticians, and IT specialists. Staying updated on rapidly evolving tools and best practices is essential to ensure high-quality, reproducible results.

Is bioinformatic analyst a stressful job?

Bioinformatic analysts often work in research or healthcare settings, analyzing large datasets and developing computational tools, which can involve tight deadlines and complex problem-solving. The level of stress varies depending on workload, project deadlines, and workplace environment, but the role generally requires strong attention to detail and technical skills. Managing workload and staying organized can help reduce stress in this position.

Is bioinformatics well paying?

Bioinformatic analysts typically earn competitive salaries that vary by experience, education, and location. In general, the field offers above-average pay compared to many other entry-level science roles, especially for those with advanced skills in programming, data analysis, and familiarity with tools like R or Python.

What cities in Arizona are hiring for Bioinformatic Analyst jobs?

Cities in Arizona with the most Bioinformatic Analyst job openings:

Infographic showing various Bioinformatic Analyst job openings in Arizona as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $68,271 per year, or $32.8 per hour.

Bioinformatics Scientist (cur_1_130454@curatelyai.net)

ASK Consulting

Tucson, AZ • On-site

$65/hr

Contractor

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Collaborate with multidisciplinary teams to design, optimize, and troubleshoot high-throughput sequencing scRNAseq experiments.

  • Develop, maintain, and streamline bioinformatics tools and workflows for processing diagnostic sequencing data.

  • Troubleshoot data quality issues and ensure data integrity and accessibility across the diagnostic workflow.


Job description

"All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment".

 

Job Title: Bioinformatics Scientist

Location: Tucson, AZ

Duration: 12+ Months

PR: $65/hr


Job Description:

We are seeking a talented and highly motivated Bioinformatics Scientist to support the Client INC Diagnostics Discovery Sciences Research and Early Development team. This role requires a broad understanding of bioinformatic analysis across diverse technologies, including NGS, scRNAseq, and multiomics. The successful candidate will collaborate closely with wet lab scientists, internal stakeholders, and academic collaborators to design, implement, and maintain internal algorithms and tools.

 

The Opportunity:  

  • 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 experiments.
  • Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from disease, germline, and cell-free DNA samples.
  • Create, implement, and streamline bioinformatics tools and workflows in partnership with wet lab scientists to enhance assay development efficiency and data quality.
  • Provide hands-on troubleshooting to ensure data quality, integrity, and accessibility across the diagnostic workflow, while addressing the needs of internal and external stakeholders through scientific and business analyses.
  • Advocate for best practices in documenting, training, and scaling algorithms, tools, and workflows to ensure reproducibility and scalability.
  • Communicate project outcomes and team progress across various teams and organizational functions to promote alignment and collaboration.

Who You Are:  

  • Required: You have a Bachelor's Degree and 7+ years of experience
  • Preferred: You have a PhD in Bioinformatics, Computational Biology, Statistics, or a related field with 2 years of industry experience in clinical diagnostics or related domain or a Masters degree in Bioinformatics, Computational Biology, Statistics, or a related field with 5 years of industry experience in clinical diagnostics or a related domain
  • You have expertise in DNA/RNA sequencing as well as scRNAseq data analysis and interpretation.
  • You have hands-on experience with 10X Genomics analysis workflows
  • You have a strong understanding of molecular biology principles and hands-on familiarity with next-generation sequencing laboratory processes.

Behaviors, competencies, and qualities of the ideal applicant:

  • You are proficient in programming skills in R and/or Python, with experience working in a distributed Linux environment. (Proficiency in C++ or Java is a plus)
  • You are proficient in creating clear, insightful visualizations of complex biological data, with strong presentation skills 


About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities

ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.