Current Openings

Open Call for Applications (ongoing)

• Fellowships in DCEG, General Application

  DCEG investigators are always looking for fellows. Learn about how to apply for fellowships in DCEG.

Fellowships Recruitments for Specific Projects

• Artificial Intelligence & Radiation Dosimetry Postdoctoral Fellowship

  Dr. Choonsik Lee in the Radiation Epidemiology Branch, Dosimetry Unit, is seeking a postdoctoral fellow with training in computer science, artificial intelligence, and/or data science to develop and apply deep learning methods, including automated image segmentation and natural language processing, for radiation dosimetry and epidemiologic research.

• Postdoctoral Fellowship in Radiation Epidemiology & Cancer Survivorship

  The Radiation Epidemiology Branch is seeking an applicant with training in epidemiology and/or molecular epidemiology to study radiation-related health risks and/or cancer survivorship. Available study populations include individuals exposed to radiation in a number of different scenarios, from patients treated with radiotherapy for cancer to workers with occupational exposures. Projects may include analysis of data from questionnaires, electronic health records, and registries, as well as the study of somatic and germline genomics of radiation-related tumors.

• Statistical and Computational Methods Development Postdoctoral Fellowship

  Dr. Paul Albert in the Biostatistics Branch is seeking postdoctoral fellow(s) interested in developing statistical methods for analyzing novel types of data from studies of cancer. Such data include high-dimensional genetics and biomarker observations, data from electronic medical records, environmental and spatial data, and longitudinal and survival data.

• Genetic Epidemiology of Skin Cancer, Postdoctoral Fellowship

  Dr. Michael Sargen in the Clinical Genetics Branch eeks a motivated postdoctoral fellow who is interested in investigating the etiology of aggressive skin cancer types (melanoma, sebaceous carcinoma, and others) through epidemiologic and molecular approaches. 

• Studies of Lung Cancer, Melanoma, and Kidney Cancer Using Genomic Data Postdoctoral Fellowship

  Dr. Maria Teresa Landi in the Integrative Tumor Epidemiology Branch seeks a postdoctoral fellow to work on genome-wide association studies, next-generation sequencing analysis, and genome-wide methylation analysis to study risk and progression of lung cancer, melanoma, and kidney cancer.

• Genetics and Genomics of Bladder Cancer Postdoctoral Fellowship

  Dr. Ludmila Prokunina-Olsson in the Laboratory of Translational Genomics is seeking a postdoctoral fellow. The lab identifies and explores molecular mechanisms of germline variants identified by genome-wide association studies for bladder cancer to foster understanding of disease mechanisms and translate findings to the clinic. Analysis is integrated with somatic genetics, transcriptomics, environmental exposures, and clinical outcomes.

• Computational Pathoepidemiology of Multistep Carcinogenesis Postdoctoral Fellowship

  Dr. Mustapha Abubakar, Earl Stadtman Investigator in the Integrative Tumor Epidemiology Branch is recruiting a postdoctoral fellow with an interest in cancer etiology, risk, disease progression, and survival outcomes.

• Molecular Epidemiologic Research Postdoctoral Fellowship

  Dr. Demetrius Albanes in the Metabolic Epidemiology Branch is recruiting a postdoctoral fellow to study cancer risk and survival. Studies will have an emphasis on the role of nutritional factors, vitamin supplementation, and the metabolomic signatures of cancer risk, mortality and etiologic factors.

• Functional Genomics, Molecular Genetics, Lung Cancer Susceptibility Postdoctoral Fellowship

  Dr. Jiyeon Choi, Earl Stadtman investigator in the Laboratory of Translational Genomics seeks a postdoctoral fellow to explore the genetic risk of lung cancer by characterizing genomic loci associated with the disease in the general population. Fellows will collaborate on international projects and design and perform experiments while working closely with multidisciplinary experts such as bioinformaticians, clinicians, and statisticians.