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Post-Doctoral Research Fellow, Statistical Methods Development

Post-Doctoral Research Fellow, Statistical Methods Development

Job ID 
9919
Type 
Regular Full-Time
Company 
Fred Hutchinson Cancer Research Center
Location 
US-WA-Seattle
Category 
Post-Doctoral Research Fellows and Associates

More information about this job

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

 

Biostatistics, Bioinformatics and Epidemiology (BBE) at Fred Hutch is seeking a Postdoctoral Research Fellow to conduct statistical methodology and collaborative research related to biomarker evaluation in infectious diseases and cancer. 

Responsibilities

The successful applicant will work primarily on statistical methods development for design and analysis of biomarker studies for disease risk prediction, personalized medicine, and surrogate endpoint identification in cancer and infectious diseases. Data collected by the HIV Vaccine Trial Network (HVTN) studies, the cancer Early Detection and Research Network (EDRN), and the Women's Health Initiative (WHI) studies will be used as a basis for the methodological works. The applicant will also have the opportunity to carry out collaborative projects relevant for biomarker evaluation to present and publish research results.

Qualifications

PhD degree in biostatistics/statistics; strong theoretical background and programming skills; strong oral and written communication skills; strong independent problem solving skills. Excellence in R is required. Proficiency in C/C++ a plus. Experience with missing data methods, variable selection, biomarker evaluation, mixture models, high-dimensional data methods, causal inference, survival analysis, or clinical study design a plus.

 

To apply, please include a cover letter describing your research interests and interest in the position, with CV and names of three references.

Our Commitment to Diversity

We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail@fredhutch.org or by calling 206-667-4700.