Postdoctoral Researcher - Computational biology​/Cancer bioinformatics

Postdoctoral Researcher – Computational Biology/Cancer Bioinformatics (Full Time) Position Overview

The Theodorescu Lab within the University of Arizona Cancer Center 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.

Our ultimate aim is to discover novel biomarkers and interventions that can improve patient outcomes.

Successful candidates will collaborate closely with two vibrant groups that bridge innovative cancer research and state‑of‑the‑art computational modeling. We seek a driven, creative, team‑oriented individual with an aptitude for quantitative and informatic methods, and a passion for translating fundamental cancer biology mechanisms toward clinical impact. Experience gained here will position candidates for permanent roles in academia or industry.

• Design and perform quantitative data analysis; keep a detailed record of codebase with documentation, and share results with the Principal Investigators.
• Develop, adapt, and implement new research techniques and algorithms.
• Analyze, interpret, present, and interpret data clearly and accurately.
• Perform routine and complex data analysis procedures throughout the training period.
• Assist in preparation of grant proposals with the PIs (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.
• Spend approximately 75% of time on computational analysis and 25% on writing articles, analyzing data, and online research.

• 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.

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

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

Health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; tuition reduction for the employee and qualified family members at UA, ASU, and NAU; access to campus recreation and cultural activities, and more.