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How much do postdoctoral in cancer biology jobs pay per year?

As of Jun 24, 2026, the average yearly pay for postdoctoral in cancer biology 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 does a Postdoctoral researcher in Cancer Biology do?

A Postdoctoral researcher in Cancer Biology conducts advanced research to understand the mechanisms of cancer development, progression, and treatment. They design and perform experiments, analyze data, and collaborate with other scientists to discover new insights about cancer cells and potential therapies. Their work often contributes to scientific publications and can impact the development of new diagnostic tools or treatments. Postdocs also mentor students and may help write grant proposals to secure research funding.

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

To thrive as a Postdoctoral Researcher in Cancer Biology, you need a Ph.D. in a relevant field, strong experimental design skills, and deep understanding of molecular and cellular biology. Expertise with techniques such as CRISPR, flow cytometry, and bioinformatics tools, as well as experience in handling high-throughput data, are typically required. Excellent problem-solving, collaboration, and scientific communication skills help you excel in team-based research environments and disseminate complex findings. These skills and qualities are crucial for advancing cancer research, securing funding, and contributing meaningful scientific insights.

What are the common challenges faced by postdoctoral researchers in cancer biology, and how can they navigate them?

Postdoctoral researchers in cancer biology often face challenges such as securing research funding, balancing bench work with manuscript and grant writing, and adapting to rapidly evolving scientific techniques. Navigating these challenges involves developing strong time management skills, seeking mentorship from senior scientists, and actively participating in lab meetings and collaborative projects. Engaging with the broader research community through conferences and workshops also helps postdocs stay current and build valuable professional networks, which are crucial for career advancement.
Infographic showing various Postdoctoral In Cancer Biology job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 46% As Needed, 21% Full Time, 6% Part Time, 20% Nights, and 1% Summer. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Associate - cancer epidemiology

Postdoctoral Associate - cancer epidemiology

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Posted 27 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

52nd of 539 rated colleges and universities

Job description

Job Title: Postdoctoral Associate - cancer epidemiology
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for a Postdoctoral Associate position for our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Analyzes large data sets.
  • Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) to address complex biological and translational research questions.
  • Uses state-of-the-art bioinformatical and statistical tools.
  • Develops new statistical methods to answer biological questions that arise in the research.
  • Prepares manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Ensures compliance with institutional, sponsor and data security guidelines for handling sensitive genomic and clinical data.
  • Conducts advanced analysis of large-scale biomedical and population health datasets to support ongoing research within the section.
  • Collaborates with multidisciplinary teams that includes faculty investigators, statisticians, clinicians, and trainees, in a highly team-oriented research environment.
  • Participates in the Section's sponsored training program by contributing to collaborative projects, mentoring trainees, and engaging in programmatic activities such as seminars, workshops, and collaborative research initiatives.
  • Develops methodologies and tools for use in the electronic medical records that will strengthen the Learn Health System and improve patient outcomes.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • Ph.D. in Epidemiology or Bioinformatics or related field.
  • Prior experience in analysis with real-world data, high-dimensional data, causal inference, and/or machine learning /artificial intelligence in a plus.
  • Knowledge in cancer biology or genetics is desired.
  • Excellent writing skills in English.
  • Ability to work in a team environment.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
PD; SN
Requisition ID: 25324

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