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How much do postdoctoral position breast cancer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for postdoctoral position breast cancer in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced in a postdoctoral position focused on breast cancer research, and how can they be managed?

Postdoctoral researchers in breast cancer often face challenges such as managing complex experimental designs, balancing independent projects with collaborative efforts, and staying current with rapidly evolving scientific literature. Navigating grant applications and publishing under tight deadlines can also be demanding. Building strong relationships with mentors and team members, seeking regular feedback, and prioritizing time for writing and data analysis are effective strategies for overcoming these challenges and advancing your research career.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Breast Cancer, and why are they important?

To thrive as a Postdoctoral Researcher in Breast Cancer, you need a PhD in a relevant field (such as oncology, molecular biology, or biochemistry), with strong expertise in experimental design, data analysis, and scientific writing. Familiarity with laboratory techniques like cell culture, flow cytometry, genomics, and bioinformatics tools, as well as experience with research software and databases, is typically required. Excellent problem-solving, collaboration, and communication skills help researchers contribute effectively to multidisciplinary teams and publish impactful work. These skills are essential for driving scientific discovery, advancing cancer research, and making meaningful contributions to patient outcomes.

What is a postdoctoral position in breast cancer research?

A postdoctoral position in breast cancer research is a temporary research role for individuals who have recently earned a Ph.D. or equivalent degree, focusing on advanced studies related to breast cancer. Postdocs work under the supervision of senior scientists to conduct experiments, analyze data, publish findings, and contribute to ongoing research projects. These positions help early-career researchers gain specialized experience, expand their professional network, and prepare for independent research or academic careers.
Postdoctoral Fellow - Computational Cancer Biology

Postdoctoral Fellow - Computational Cancer Biology

City of Hope

Duarte, CA

$34.25 - $37.82/hr

Other

Posted 5 days ago

City Of Hope rating

8.4

Company rating: 8.4 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

33rd of 869 rated healthcare providers

Job description

Thank you for your interest.  Please note, the purpose of this posting is to recruit for on-going and future positions. 

  • For consideration, please email your CV and Cover Letter to Dr. Aritro Nath at anath@coh.org outlining how your career objectives align with the research conducted in our lab. Please indicate the expected graduation date if applicable. Your CV should include a detailed list of preprints/publications, along with the names and contact information of three potential referees.

  • Pay Rate: $34.25-$37.82 per hour

Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.

The Nath lab is seeking applicants for a postdoctoral position in computational cancer biology. Our lab aims to enhance cancer treatment outcomes through two main research areas:

Investigating the biological mechanisms underlying tumor progression: We use single-cell and bulk multiomic techniques to profile tumor samples, focusing on resistance mechanisms in breast cancer, glioblastomas, colon cancer, and lung cancer.

Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop predictive models for drug response. Furthermore, we work on creating new treatment stratification methods to personalize treatment for individual patients.

More information about the lab can be found here: https://www.nathlab.org

As a successful candidate, you will:

  • Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational analyses.

  • Design, maintain, and optimize computational pipelines and software tools for integration of multiomics and clinical datasets to uncover mechanisms of tumor evolution and therapeutic resistance.

  • Developing and applying stateoftheart artificial intelligence and machine learning (AI/ML) algorithms to discover robust prognostic and predictive biomarkers, and design clinically actionable treatmentstratification frameworks.

  • Stay updated on the latest advancements in bioinformatics, genomics, and AI/ML research, and present findings to internal teams and external collaborators, as well as at conferences.

  • Work with the PI to develop a career development plan and participate in various careergrowth opportunities.

Your qualifications should include:

  • Ph.D. in computer science, bioinformatics, computational biology, genetics, or a closely related quantitative field. A degree in computer science is especially valuable due to the software engineering, algorithmic, and AI/ML components central to this role.

  • Strong fundamentals in cancer biology and statistics are essential.

  • Demonstrated proficiency in multiple programming languages such as Python/R, with experience in computational analysis of omics datasets.

  • Experience with AI/ML algorithms and prediction model development.

  • Familiarity with data structures, algorithms, software engineering best practices, and computational efficiency is highly desirable.

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, please CLICK HERE.

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About City of Hope

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City of Hope is an independent biomedical research and treatment organization for cancer, diabetes and other life-threatening diseases. Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hopes translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope, a subsidiary launched in 2019 serves employers and their health care partners by providing access to City of Hopes specialized cancer expertise. City of Hope is ranked among the nations Best Hospitals in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona.

Industry

Hospitals

Company size

1,001 - 5,000 Employees

Headquarters location

Duarte, CA, US

Year founded

1913

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