1

Cancer Epidemiologist Jobs in Michigan (NOW HIRING)

Job Summary The University of Michigan Environmental Toxicology and Epidemiology Program (ETEP ... Additional research areas include cancer, metabolic disorders, environmental chemistry, exposure ...

... Epidemiology, and End Results (SEER), collaborative and American Joint Committee on Cancer (AJCC) staging) as regulated by the American College of Surgeons on each patient to be included in the ...

... Epidemiology, and End Results (SEER), collaborative and American Joint Committee on Cancer (AJCC) staging) as regulated by the American College of Surgeons on each patient to be included in the ...

... Epidemiology, and End Results (SEER), collaborative and American Joint Committee on Cancer (AJCC) staging) as regulated by the American College of Surgeons on each patient to be included in the ...

... Epidemiology preferred. Facility Description: DMC Sinai-Grace Hospital is DMC's largest hospital, offering a comprehensive heart center, cancer care, gerontology, emergency medicine, obstetrics ...

... Epidemiology preferred. Facility Description: DMC Sinai-Grace Hospital is DMC's largest hospital, offering a comprehensive heart center, cancer care, gerontology, emergency medicine, obstetrics ...

Cancer Epidemiologist information

See Michigan salary details

$39.2K

$74.3K

$115.9K

How much do cancer epidemiologist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for cancer epidemiologist in Michigan is $74,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $88,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a cancer epidemiologist?

To thrive as a Cancer Epidemiologist, you need a strong background in public health, biostatistics, and epidemiological research, usually supported by a master's or doctoral degree in epidemiology or a related field. Familiarity with statistical software such as SAS, R, or SPSS, and experience with large health data sets and cancer registries, are typically required. Excellent analytical thinking, communication, and collaboration skills help cancer epidemiologists effectively interpret data and work with multidisciplinary teams. These competencies are crucial for identifying cancer trends, informing public health strategies, and advancing cancer prevention and control efforts.

What are some common challenges faced by cancer epidemiologists when conducting population-based research studies?

Cancer epidemiologists often encounter challenges such as collecting reliable data from diverse populations, managing large datasets, and accounting for potential confounding factors that could influence study outcomes. They must also navigate ethical considerations around patient privacy and data sharing. Additionally, coordinating multi-institutional studies and maintaining consistent methodologies across sites can be complex but are crucial for producing valid and generalizable results.

What are popular job titles related to Cancer Epidemiologist jobs in Michigan?

For Cancer Epidemiologist jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Cancer Epidemiologist jobs?

Cities in Michigan with the most Cancer Epidemiologist job openings:

Infographic showing various Cancer Epidemiologist job openings in Michigan as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $74,279 per year, or $35.7 per hour.

Assistant Scientist / Assistant Professor - Computational Biology

Henry Ford Medical Group

Detroit, MI

Full-time

Re-posted 8 days ago


Job description

Henry Ford Health

Henry Ford Health (HFH) in Detroit, Michigan, is one of the nation's leading comprehensive health systems, recognized for excellence in clinical care, research, and education. The Center for Cutaneous Biology and Immunology (CCBI) is a dynamic, multidisciplinary research program dedicated to advancing our understanding of skin biology and immunology, cancer immunology, and the functional genomics that govern immune cell behavior in cancer as well as autoimmune and inflammatory diseases. Our team fosters an innovative, collaborative, diverse, and open-minded research environment in partnership with Michigan State University. We are supported by multiple NIH-funded grants and active communities of immunologists, molecular biologists, biochemists, data scientists, physician scientists, and computational biologists. Our mission is to advance translational research that leads to meaningful improvements in clinical care.

Position Description

We invite applications for an Assistant Professor / Assistant Scientist with expertise in computational biology, statistical genetics, genomics, and AI-driven medicine. We seek a highly motivated individual who develops and applies state-of-the-art computational methods to complex, large-scale biological datasets. The successful candidate will contribute to high-impact translational research programs and lead independent research efforts, and will hold a joint faculty appointment (Assistant Scientist) with Michigan State University as part of the HFH-MSU Health Sciences partnership.

Key Responsibilities

  • Develop and apply computational, statistical, and AI/ML approaches to analyze diverse biological datasets, including:
    • GWAS, whole-genome/exome sequencing
    • DNA methylation and epigenomic profiling
    • Bulk and single-cell RNA-seq, spatial transcriptomics
    • ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC
    • Histological and radiological imaging data
    • Clinical and epidemiological datasets
  • Lead independent research projects and contribute to collaborative team science initiatives.
  • Pursue external funding (e.g., NIH, NSF, foundations) to support research programs.
  • Mentor trainees and collaborate closely with investigators across HFH and Michigan State University.

Required Qualifications

  • PhD in biostatistics, bioinformatics, computational biology, computer science, or a related discipline.

  • Strong research track record in genetics, multi-omics integration, and/or AI applications to biological or clinical data, as demonstrated by peer-reviewed publications and conference presentations.

  • Demonstrated ability-or strong potential-to secure external research funding.

  • Proficiency in programming and analytical languages/platforms (e.g., R, Python, TensorFlow, PyTorch).

  • Experience working in Unix/Linux environments, including shell scripting (Bash, awk, sed).

  • Familiarity with tools for genomic, epigenomic, transcriptomic, and proteomic analysis, including next-generation sequencing pipelines (DNA-seq, RNA-seq, ATAC-seq, ChIP-seq).

  • Experience with single-cell and spatial transcriptomics, eQTL/pQTL analysis, and multimodal data integration.

  • Familiarity with imaging analytics (e.g., spatial transcriptomics, H&E, IMC, radiological imaging).

  • Experience in human subjects research, healthcare data, epidemiology, or biomedical applications.

  • Excellent communication, interpersonal, organizational, and collaborative skills, with the ability to work effectively with colleagues of diverse technical and scientific backgrounds.

How to Apply:

Please submit your CV, cover letter, and research statement (past accomplishments, current work, and future research vision) to:

Dr. Qing-Sheng Mi, MD, PhD

Director, Center for Cutaneous Biology and Immunology (CCBI)

Email: qmi1@hfhs.org

Equal Employment Opportunity/Affirmative Action Employer

Henry Ford Health is committed to the fair and equitable treatment of all individuals and prohibits discrimination based on race, color, creed, religion, age, sex, national origin, disability, veteran status, marital or family status, gender identity, sexual orientation, height, weight, genetic information, or any other protected category in accordance with federal and state laws.

Additional Information
  • Organization: Henry Ford Medical Group
  • Department: Dermatology - New Center Det
  • Shift: Day Job
  • Union Code: Not Applicable