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Assistant Cancer Bioinformatics Jobs (NOW HIRING)

Windber, PA

Bioinformatics Engineer

Windber, PA · On-site

Lead data operation to visualize large complex cancer related data sets * Integrate project results ... * Assist other staff as needed and assigned. * Maintain a clean and safe working environment

Axle

Bioinformatics Scientist

Bethesda, MD

Dependent Care Assistant Program (DCAP) * Transportation Reimbursement Account (TRN) Axle is ... cancer research, etc.) * Provide examples of basic machine learning/AI concepts and/or how you've ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Dependent Care Assistant Program (DCAP) * Transportation Reimbursement Account (TRN) Axle is ... cancer research, etc.) * Provide examples of basic machine learning/AI concepts and/or how you've ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Dependent Care Assistant Program (DCAP) * Transportation Reimbursement Account (TRN) Axle  is ... cancer research, etc.) * Provide examples of basic machine learning/AI concepts and/or how you've ...

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Assistant Cancer Bioinformatics information

What is an assistant cancer bioinformatician?

An Assistant Cancer Bioinformatics professional supports research teams by analyzing and interpreting complex biological data related to cancer. They use computational tools, statistical methods, and programming languages to process genomic, transcriptomic, and other molecular datasets. Their work helps identify genetic mutations, biomarkers, and potential drug targets, aiding in cancer diagnosis, treatment, and prevention. They often collaborate closely with biologists, clinicians, and data scientists to translate raw data into meaningful biological insights.

What are the key skills and qualifications needed to thrive as an assistant cancer bioinformatician?

To thrive as an Assistant Cancer Bioinformatician, you need a solid background in molecular biology, statistics, and bioinformatics, typically supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages like R or Python, experience using bioinformatics tools, and knowledge of databases such as TCGA are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are vital soft skills in this role. These abilities ensure accurate data analysis, effective research collaboration, and meaningful contributions to cancer research projects.

What are the typical collaboration opportunities for an assistant cancer bioinformatics professional within a research team?

As an Assistant Cancer Bioinformatics professional, you will frequently collaborate with multidisciplinary teams that may include oncologists, molecular biologists, data scientists, and clinical researchers. Your role often involves supporting senior bioinformaticians by preparing and analyzing large-scale genomic datasets, interpreting results, and contributing to research publications. Effective communication is crucial, as you may need to present findings in meetings or help translate complex bioinformatics concepts for non-technical team members. This collaborative environment fosters learning and can provide valuable mentorship and opportunities for career advancement.

What is the difference between Assistant Cancer Bioinformatics vs Research Cancer Bioinformatics Specialist?

AspectAssistant Cancer BioinformaticsResearch Cancer Bioinformatics Specialist
Required CredentialsBachelor's degree in bioinformatics, biology, or related field; some roles may require certificationMaster's or Ph.D. in bioinformatics, computational biology, or related field; extensive experience often preferred
Work EnvironmentResearch labs, hospitals, biotech companies; collaborative team settingsAcademic or research institutions; focus on data analysis and research projects
Employer & Industry UsageHospitals, biotech firms, research institutes; entry to mid-level rolesUniversities, research centers, pharmaceutical companies; specialized research roles

The main difference between Assistant Cancer Bioinformatics and Research Cancer Bioinformatics Specialist lies in experience, education, and scope. The assistant role is typically entry-level, focusing on data processing and support tasks, while the specialist role involves advanced analysis, research, and often requires higher degrees and experience. Both roles are vital in cancer research environments, but they differ in responsibilities and career progression.

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Infographic showing various Assistant Cancer Bioinformatics job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

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

Tucson, AZ • On-site

VS-Postdoc
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Medical, Dental, Vision, PTO

Posted 9 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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