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Cancer Epidemiology Jobs (NOW HIRING)

$91K - $146K/yr

Summary APPLIED RESEARCH SCIENTIST II Coghill Lab | Cancer Epidemiology | Moffitt Cancer Center The Applied Research Scientist II will join Dr. Anna Coghill's research team in the Department of ...

$69K - $97K/yr

Summary The Schabath Lab is one of the first epidemiology labs to conduct AI-based research to develop and validate image-based biomarkers in the cancer care continuum. Position Highlights

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How much do cancer epidemiology jobs pay per year?

As of Aug 26, 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 is cancer epidemiology?

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.

What does a cancer epidemiologist do?

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 skills and qualifications are needed for cancer epidemiology?

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.

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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:

Infographic showing various Cancer Epidemiology job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $85,222 per year, or $41 per hour.

Postdoctoral Associate - Cancer Epidemiology

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted just now


Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 623 rated colleges and universities


Job description

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.
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, including 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.

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

Preferred Qualifications
  • Ph.D. in Epidemiologists or Bioinformaticians or M.D.s/DVMs with related experience.
  • Has the ability to work in a team environment.
  • Experience with next generation sequencing data analysis is a plus.
  • Knowledge in cancer biology or genetics is preferable.
  • Excellent writing skills in English.

Requisition ID: 25833

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