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Postdoctoral Fellow in Genetic Epidemiology

Continuing Nursing Education

New York (NY)

On-site

USD 55,000 - 101,000

Full time

14 days ago

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Job summary

An established industry player is seeking a highly motivated Postdoctoral Fellow in Genetic Epidemiology. This role offers the chance to engage in cutting-edge research at the intersection of epidemiology and genetics, focusing on critical areas such as breast cancer and glioma. Candidates will have the opportunity to work with large datasets and employ advanced statistical techniques, contributing to impactful studies that explore genetic predispositions and treatment-related issues. This position promises a collaborative environment where your expertise will help shape the future of cancer research.

Qualifications

  • Doctoral degree in epidemiology, biostatistics, or related field required.
  • Experience with large genetic datasets and strong data analysis skills.

Responsibilities

  • Conduct quantitative epidemiology and radiogenomics research focused on breast cancer.
  • Develop studies on imaging biomarkers and genetic predisposition to cancer.

Skills

Quantitative Epidemiology
Data Analysis
Study Design
R Programming
Python Programming
SAS Proficiency
Communication Skills

Education

Doctoral Degree in Epidemiology
Doctoral Degree in Biostatistics
Doctoral Degree in Related Quantitative Field

Job description

Postdoctoral Fellow in Genetic Epidemiology

Join to apply for the Postdoctoral Fellow in Genetic Epidemiology role at Continuing Nursing Education.

Job Overview

The Memorial Sloan Kettering Cancer Center (MSK) is seeking a highly motivated Postdoctoral Fellow in Genetic Epidemiology to join our Epidemiology and Biostatistics Services. The role involves quantitative epidemiology and radiogenomics research focused on breast cancer and glioma, with opportunities to develop studies on imaging biomarkers, treatment-related issues, and genetic predisposition to cancer.

Key Qualifications
  • A doctoral degree in epidemiology, biostatistics, or a related quantitative field.
  • Strong understanding of study design, data analysis, and interpretation.
  • Experience with large genetic datasets and proficiency in R, Python, or SAS.
  • Excellent communication skills.
Application Instructions

Interested candidates should submit their CV, a statement of interest, and three references to Emilie Childs at childse1@mskcc.org. The position is open until filled.

Additional Details

Salary range: $55,439 - $100,940. Benefits information and application steps are available on our website.

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