Skip to Content
Discovering the causes of cancer and the means of prevention

Integrative Tumor Epidemiology Opportunities with Specific Investigators

On this page:

Statistical Methods and Bioinformatics Tools for Integrative Cancer Genomic Analysis - Postdoctoral Fellowship
Genetic Epidemiology of Cancer - Postdoctoral Fellowship
Cancer Genetic Epidemiology of Melanoma - Postdoctoral Fellowship
Studies of Lung Cancer, Melanoma, and Kidney Cancer using Genomic Data - Postdoctoral Fellowship
Integratin Genomic and Epidemiological Data to Understand Breast Cancer Etiology - Postdoctoral Fellowship

Statistical Methods and Bioinformatics Tools for Integrative Cancer Genomic Analysis - Postdoctoral Fellowship

Dr. Bin Zhu, an investigator in the Biostatistics Branch and Dr. Rose Yang, senior investigator in the Integrative Tumor Epidemiology Branch are seeking a postdoctoral fellow for a two-year appointment with possible extension to work on integrative analysis of multi-platform high-dimensional cancer genomics data with epidemiology and clinical outcomes. The position will be focused on development and application of statistical methods and bioinformatics tools for integrative cancer genomic analysis. The candidate will be able to expand his/her analytic and scientific skills that are essential for cancer genome research and precision medicine in oncology.

Qualifications: Candidate will have a Ph.D. in biostatistics, bioinformatics, epidemiology, statistics, computer science or a related field, and should have strong knowledge of statistical theory and excellent skills in computer programming and analysis of next-generation sequencing data.

For more information about this position, please contact Bin Zhu, Ph.D. or Rose Yang, PH.D., M.P.H.

To Apply: See the Division Fellowship Information page for an overview, qualifications, and application details.

Genetic Epidemiology of Cancer - Postdoctoral Fellowship

Dr. Mitchell Machiela, an investigator in the DCEG Integrative Tumor Epidemiology Branch, is seeking a postdoctoral fellow with interest in conducting integrative analyses on the genetic etiology of cancer. Genetic epidemiology has remarkable potential to improve understanding of cancer etiology by identifying germline genetic variation and acquired somatic mutations associated with cancer risk. Specific areas of Dr. Machiela's research include:

  1. Next-generation sequencing studies to identify acquired mutations that could impact cancer risk in special exposure populations (e.g., drug and radiation exposure);
  2. Studies characterizing the distribution and determinants of structural mosaic copy number changes in large cancer case/control and cohort studies (~200,000 participants) with existing array genotyping data; and
  3. Genome-wide association studies (GWAS) in pediatric cancers to identify and functionally map germline variants associated with increased risk (e.g., Ewing sarcoma).

All studies of the genetic etiology of cancer are population-based with extensive data on exposures, genetic variation and phenotypic characterization. The potential candidate will be part of an interdisciplinary team of genetic, bioinformatic and laboratory investigators. The NCI’s Division of Cancer Epidemiology (DCEG) has a long tradition of carrying out large-scale, state-of-the-art population studies and has excellent computing resources for next-generation sequencing and genetic epidemiologic analyses. In addition, DCEG offers extensive career development training through its Office of Education.

Qualifications: Applicants with a doctoral degree in genetic epidemiology, genetics/genomics, statistical genetics or related field, are encouraged to apply. Experience in analyses of large complex genomic datasets, next-generation sequencing, GWAS, and/or bioinformatic methods is a plus. A successful candidate will have excellent written and verbal communication skills, be self-motivated and able to work in a multidisciplinary team. Salary and benefits are highly competitive and commensurate with experience.

For more information contact Mitchell Machiela, Sc.D., M.P.H.

To Apply: Please submit a cover letter highlighting key qualifications and interests, a current CV, and the names of three reference to:

Mitchell Machiela, Sc.D., M.P.H.
Integrative Tumor Epidemiology Branch
Division of Cancer Epidemiology and Genetics
National Cancer Institute

Back to top

Cancer Genetic Epidemiology of Melanoma - Postdoctoral Fellowship

Dr. Alisa Goldstein in the Clinical Genetics Branch and Dr. Rose Yang in the Integrative Tumor Epidemiology Branch are seeking a postdoctoral fellow with an interest in conducting multi-omics analyses to identify major susceptibility genes and modifier factors for cutaneous malignant melanoma. The potential fellow will be analyzing high-dimensional germline genomic data (whole-exome sequencing, SNP array, RNASeq, methylation array) derived primarily from multi-generational melanoma families. The candidate will have the opportunity of working closely with researchers with expertise in epidemiology, biostatistics, bioinformatics, genetics, and genomics and will have extensive career development training opportunities through the DCEG Office of Education.

Qualifications: Applicants with a doctoral degree in genetic epidemiology, statistical genetics, bioinformatics, or biostatistics are preferred. Candidates with a doctoral degree in related fields with strong quantitative skills are also encouraged to apply. Experience in analyses of melanoma or omics data is a plus.

For more information about this position, please contact Alisa Goldstein, Ph.D. or Rose Yang, PH.D., M.P.H.

To Apply: See the Division Fellowship Information page for an overview, qualifications, and application details.

Back to top

Studies of Lung Cancer, Melanoma, and Kidney Cancer using Genomic Data - Postdoctoral Fellowship

We use genome-wide association studies (GWAS), next-generation sequencing analysis, and genome-wide methylation analysis to study risk and progression of lung cancer, melanoma, and kidney cancer. Specific goals of our research include:

  1. Identifying molecular signatures associated with environmental exposures and clinical outcomes;
  2. Identifying intra-tumor genetic and epigenetic heterogeneity and tumor evolution;
  3. Characterizing the molecular steps that lead from precursor to malignant disease;
  4. Identifying rare genetic variants associated with risk of familial melanoma.

All studies are large and population-based. We have strong collaborating biostatistics and laboratory teams, and have excellent computing resources for next-generation sequencing and genetic epidemiologic analyses.

DCEG fellows have access to data from state-of-the-art studies in cancer genomics and work with highly committed and talented researchers with expertise in epidemiology, biostatistics, and genomics. DCEG offers extensive career development training through its Office of Education.

Qualifications: Applicants with a doctoral degree or background in genetics/genomics, genetic epidemiology, or related field, are encouraged to apply. Experience in analyses of large complex genomic datasets, next-generation sequencing, GWAS, and/or bioinformatics methods is a plus. A successful candidate will have excellent communication skills, be highly motivated and able to work in a large multidisciplinary team. Salary and benefits are highly competitive and commensurate with experience.

For more information contact Maria Teresa Landi, M.D., Ph.D.

To Apply: See the Division Fellowship Information page for an overview, qualifications, and application details.

Back to top

Integrating Genomic and Epidemiological Data to Understand Breast Cancer Etiology - Postdoctoral Fellowship

The Integrative Tumor Epidemiology Branch is seeking a postdoctoral fellow with an interest in integrating genomic (next-generation sequencing, SNP array, RNASeq, methylation), pathology, morphology, and imaging data (mammographic density) into epidemiologic studies of breast cancer for a better understanding of etiologic and racial heterogeneity. The potential fellow will have the opportunity of working closely with researchers with expertise in epidemiology, biostatistics, bioinformatics, and genetics, and will have extensive career development training opportunities through the DCEG Office of Education.

Qualifications: Applicants with a doctoral degree in epidemiology, genetics/genomics, or related field are encouraged to apply. Experience in analyses of breast cancer and genomic sequence/array data is a plus.

For more information, please contact Rose Yang, Ph.D., M.P.H.

To Apply: See the Division Fellowship Information page for an overview, qualifications, and application details.

Back to top

Back to Research Training Opportunities in Integrative Tumor Epidemiology

DHHS and NIH are Equal Opportunity Employers