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How much do cancer epidemiology jobs pay per year?

As of Jun 13, 2026, the average yearly pay for cancer epidemiology in the United States is $85,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a cancer epidemiologist?

Cancer epidemiologists are responsible for designing and conducting studies to investigate patterns, causes, and prevention strategies for cancer within populations. On a daily basis, this often involves collecting and analyzing large datasets, interpreting statistical results, preparing reports or research papers, and collaborating with clinicians, statisticians, and public health officials. Additionally, they may contribute to grant writing, attend scientific meetings, and stay updated on emerging research trends. The role usually offers a blend of independent data analysis and teamwork, supporting efforts to inform public health policies and cancer prevention programs.

What are the key skills and qualifications needed to thrive in the Cancer Epidemiology position, and why are they important?

To thrive in Cancer Epidemiology, you generally need a strong background in public health, biostatistics, and epidemiologic research methods, typically supported by an advanced degree in epidemiology or a related field. Familiarity with statistical software such as SAS, R, or SPSS, as well as experience with large-scale health databases, is essential. Excellent analytical thinking, attention to detail, and collaborative communication skills help professionals meaningfully interpret data and work effectively within multidisciplinary teams. These skills ensure the accurate analysis of cancer trends and risk factors, driving impactful public health decisions and research outcomes.

What is a Cancer Epidemiology job?

A Cancer Epidemiology job involves studying the patterns, causes, and effects of cancer in populations. Professionals in this field analyze data, identify risk factors, and develop strategies for cancer prevention and control. They often work in research institutions, public health organizations, or healthcare agencies. Their work helps shape public health policies, improve screening programs, and enhance patient outcomes.

More about Cancer Epidemiology jobs
What cities are hiring for Cancer Epidemiology jobs? Cities with the most Cancer Epidemiology job openings:
What are the most commonly searched types of Cancer Epidemiology jobs? The most popular types of Cancer Epidemiology jobs are:
What states have the most Cancer Epidemiology jobs? States with the most job openings for Cancer Epidemiology jobs include:
What job categories do people searching Cancer Epidemiology jobs look for? The top searched job categories for Cancer Epidemiology jobs are:
Cancer Epidemiology jobs near you
Infographic showing various Cancer Epidemiology job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.
Postdoctoral Associate - Cancer Epidemiology

Postdoctoral Associate - Cancer Epidemiology

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Posted 16 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

51st of 536 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: 25291

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