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

VS-Postdoc; Tucson (AZ); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

Paid vacation and sick leave

Tuition reduction for employee and family

Job summary

VS-Postdoc is seeking a Postdoctoral Researcher specializing in Computational Biology and Cancer Bioinformatics. This full-time role at the University of Arizona’s Cancer Center involves integrating multimodal omics data to identify cancer-driving mechanisms. The candidate will perform quantitative analysis, develop algorithms, and collaborate on publications.

Applicants should hold a PhD in a relevant field and possess strong skills in bioinformatics. Benefits include health, dental, vision, and tuition reduction for employees and their families.

Qualifications

• PhD or MD/PhD in computational biology, physics, math, computer science, or related field.
• Outstanding publication record from prior graduate and/or postgraduate training.
• Ability to work semi-independently on research projects.

Responsibilities

• Design and perform quantitative data analysis.
• Develop and implement new research techniques and algorithms.
• Assist in preparation of grant proposals with PIs.

Skills

Quantitative analysis

Bioinformatics

Molecular biology

Education

Doctorate (PhD or MD/PhD) in relevant field

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.