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Computational Biologist Jobs in Arizona (NOW HIRING)

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

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Computational Biologist information

See Arizona salary details

$45.2K

$87.6K

$124.4K

How much do computational biologist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for computational biologist in Arizona is $87,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $109,000.00 per year, depending on experience, location, and employer.

What is a computational biologist?

A computational biologist is a skilled scientist who uses complex computer algorithms to research and analyze biological systems. This highly specialized job entails using computers and advanced data analytics software to research biological topics such as genetic sequencing, cellular growth numbers, and protein sampling. As a computational biologist, your duties are to code computer algorithms and perform bioinformatics research in the lab. You may also work with students by using the data from their bioinformatics research.

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

To thrive as a Computational Biologist, you need a strong background in biology, mathematics, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), bioinformatics tools, and data analysis platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These skills are critical for analyzing complex biological data, interpreting results, and collaborating with multidisciplinary teams to advance scientific research.

What are some common interdisciplinary collaborations for a computational biologist, and how do these impact daily work?

Computational Biologists frequently collaborate with laboratory scientists, statisticians, and software engineers to analyze complex biological data. These interdisciplinary interactions mean that communication skills are essential, as you’ll often translate computational findings into actionable insights for experimental teams. Daily responsibilities may include attending joint meetings, discussing data analysis strategies, and integrating feedback from collaborators to refine models. This collaborative environment fosters both scientific discovery and personal growth, offering exposure to diverse perspectives and expertise.

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

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

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

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

What cities in Arizona are hiring for Computational Biologist jobs?

Cities in Arizona with the most Computational Biologist job openings:

What are popular job titles related to Computational Biologist jobs in AZ?

For Computational Biologist jobs in AZ, the most frequently searched job titles are:

Infographic showing various Computational Biologist job openings in Arizona as of August 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $87,586 per year, or $42.1 per hour.

Postdoctoral Researcher - Computational biology/Cancer bioinformatics (Full Time)

The University of Arizona

Tucson, AZ • On-site

Full-time, Part-time

Medical, Dental, Vision, Life, PTO

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


University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

337th of 628 rated colleges and universities


Job description

Postdoctoral Researcher - Computational biology/Cancer bioinformatics (Full Time)

Posting Number
req26025

Department
Cancer Center Division

Department Website Link
https://cancercenter.arizona.edu/

Location
Tucson Campus

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

Position Highlights

The Theodorescu Lab within the University of Arizona Cancer Center (UACC) and Padi 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)), Ben Guebila (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.

This individual would join two vibrant groups that closely collaborate to bridge the gap between innovative cancer research and state-of-the-art computational modeling. The successful candidate will be a driven, creative, team-oriented individual with an aptitude for quantitative/informatic methods and a passion for helping to discover fundamental cancer biology mechanisms that have potential clinical impact and thus can be moved eventually towards a clinical setting. We employ a wide variety of computational and experimental approaches and seek individuals with a strong understanding of both bioinformatics and molecular biology. Experience gained in our laboratory will help the candidate to become competitive for permanent positions in either academia or industry. We welcome applications from both recent PhD or MD/PhD recipients and individuals seeking additional postdoctoral training. For more information, please visit: https://cancercenter.arizona.edu/person/dan-theodorescu-md-phd and https://www.padilab.com.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocation services, please click here.

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 andmolecular biology.

Minimum Qualifications

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

Preferred Qualifications

  • Outstanding publication record from prior graduate and/or postgraduate training and/or existing extramural funding.

FLSA
Exempt

Full Time/Part Time
Full Time

Number of Hours Worked per Week
40

Job FTE
1.0

Work Calendar
Fiscal

Job Category
Research

Benefits Eligible
Yes - Full Benefits

Rate of Pay
NIH salary guidelines, Depends on Experience

Compensation Type
salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required:
Name-based criminal background check (non-security sensitive)

Number of Vacancies
1

Target Hire Date

Expected End Date

Contact Information for Candidates
Dr Megha Padi,mpadi@arizona.edu

Open Date
5/15/2026

Open Until Filled
Yes

Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter

Special Instructions to Applicant

Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).

Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses. Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.


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