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Bioinformatics Scientist Jobs in Arizona (NOW HIRING)

Facilitate analytical vetting with computational biology, bioinformatics, translational science, clinical subject-matter experts, and other scientific partners. * Coordinate cross-functional work ...

Facilitate analytical vetting with computational biology, bioinformatics, translational science, clinical subject-matter experts, and other scientific partners. * Coordinate cross-functional work ...

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Bioinformatics Scientist information

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$35

$51

$69

How much do bioinformatics scientist jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for bioinformatics scientist in Arizona is $51.06, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $58.22 per hour, depending on experience, location, and employer.

What is a bioinformatics scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

How do bioinformatics scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.

What are the key skills and qualifications needed to thrive as a bioinformatics scientist, and why are they important?

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

Is bioinformatics well paying?

Bioinformatics scientists typically earn competitive salaries due to their specialized skills in computational biology, data analysis, and programming. Salaries vary by experience, location, and industry, but the field generally offers above-average compensation compared to many other scientific roles.

What do you do as a bioinformatics scientist?

A bioinformatics scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop and apply software to interpret complex biological information, often working with large datasets and programming languages like Python or R in research or healthcare settings.

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

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

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

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

What cities in Arizona are hiring for Bioinformatics Scientist jobs?

Cities in Arizona with the most Bioinformatics Scientist job openings:

Infographic showing various Bioinformatics 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 $106,203 per year, or $51.1 per hour.

Postdoctoral Researcher - Computational Biology/Cancer Bioinformatics (Full Time)

VS-Postdoc

Tucson, AZ โ€ข On-site

$60 - $80/hr

Other

Medical, Dental, Vision, PTO

Posted 4 days ago


Job description

Postdoctoral Researcher - Computational Biology/Cancer Bioinformatics (Full Time)

Posted: Today

Type: Full-Time

Location: Tucson Campus, Tucson, AZ

Department: Cancer Center Division

Address: 1501 N. Campbell Ave, Tucson, AZ 85719 USA

Position Highlights

The Theodorescu Lab within the University of Arizona Cancer Center (UACC) andPadi Labs within the Department of Molecular and Cellular Biology are looking to hire a joint postdoctoral researcher with a strong background in computational biology and/or cancer bioinformatics. This project will be focused on integrating rich, multimodal 'omics data from cell lines and animal models, with the goal of identifying mechanisms leading to transformation and cancer. To identify such cancer-driving effects, we combine genomics, proteomics, and spatial transcriptomics data generated in the Theodorescu Lab with techniques for network inference, epigenetic rewiring, and dynamic modeling developed in the Padi Lab. Examples of the type of work that will be undertaken can be seen by our papers by Chen (Nature. 2025 Jun;642(8069):1041-1050), Abdel-Hafiz(Nature. 2023 Jul;619(7970):624-631), Gouin (Nature Commun. 2021; 12;12(1)), BenGuebila (Genome Biology. 2023; 24(1):45) and Yang (Journal of Clinical Investigation. 2025; 135(7)). Our final goal is to identify novel biomarkers and interventions for cancer that will improve patient outcomes.

Duties & Responsibilities
  • Design and perform quantitative data analysis. Keep detailed record of codebase with documentation and share the results with the Principal Investigators.
  • Develop, adapt, and implement new research techniques and algorithms.
  • Analyze, interpret, present, and interpret the data clearly and accurately.
  • Perform routine and complex data analysis procedures throughout training period.
  • Assist in preparation of grant proposals with the PIs but is not responsible for generating grant funds.
  • Participate in publications and presentations as author or co-author.
  • Meet with both PIs on a regular basis to discuss research progress and plans.
  • May be asked to write small grant proposals or NRSA/T32 applications.
  • Spends about 75% of time on computational analysis and 25% of time on writing articles/analyzing data/online research.
Knowledge, Skills, and Abilities
  • Ability to work semi-independently on research projects within an area of specialization.
  • Thorough technical and theoretical knowledge of research projects and the objectives to be accomplished during this post-doctoral appointment.
  • Demonstrated aptitude to perform quantitative analyses, generate reproducible code, and interpret results in a biological context.
  • Strong understanding of both bioinformatics and molecular biology.
Minimum Qualifications

Doctorate (PhD or MD/PhD) in computational biology, physics, math, computer science, or related field.

Preferred Qualifications

Outstanding publication record from prior graduate and/or postgraduatetraining and/or existing extramural funding.

Benefits

Outstanding U of A benefits include health, dental, vision, and lifeinsurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reductionfor the employee and qualified family members; access to UA recreation andcultural activities; and more!

Equal Opportunity/Affirmative Action

The University of Arizona is a committed Equal Opportunity/Affirmative Action Institution. Women, minorities, veterans and individuals with disabilities are encouraged to apply.

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