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Fred Hutchinson Cancer Center – Biostatistics Postdoc Research Fellow
Company NameFred Hutchinson Cancer Center
Position TitleBiostatistics Postdoc Research Fellow
Company Information
Fred Hutchinson Cancer Center (FHCC), home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. The FHCC provides a highly interactive and supportive environment for junior investigators to grow and develop their future career; it consistently ranks in the top 20 best places to work for postdocs, as surveyed by The Scientist.
Duties and Responsibilities
We are seeking a highly motivated postdoctoral fellow in biostatistics to develop innovative, efficient, and robust statistical methods at the interface of methodological research and impactful biomedical applications. The fellow will have the opportunity to contribute to one or more of the following priority areas: (i) surrogate marker development within a causal inference framework, with an emphasis on modeling longitudinal immune responses and linking them to time-to-event outcomes; (ii) addressing challenges related to complex non-compliance in cancer screening trials; (iii) developing efficient design and analysis strategies for multi-cancer detection (MCD) trials; and (iv) leveraging high-dimensional metabolomics data for dietary biomarker development in diet–disease association studies.
The research will be supported by rich datasets from large-scale studies, including the HIV Vaccine Trials Network (HVTN), the COVID-19 Prevention Network (CoVPN), the Early Detection Research Network (EDRN), and the Women’s Health Initiative (WHI). In addition to methodological development, the fellow will have opportunities to engage in collaborative projects, analyze large and complex datasets, and disseminate findings through presentations and publications with significant public health impact.
Position Qualifications
MINIMUM QUALIFICATIONS
PhD degree in Biostatistics, Statistics, Mathematics, Computer Science or equivalent required.
PREFERRED QUALIFICATIONS
Demonstrated expertise in one or more of the following areas: survival analysis, longitudinal data analysis, two-phase sampling techniques, methods for handling missing data, causal inference, measurement error models, and methods for biomarker evaluation
PREFERRED TECHNICAL SKILLS
1. Proficiency in R or Python
2. Experience in C/C++ a plus
EXPECTED VALUES AND APPROACH TO WORK
1. Strong oral and written communication and critical thinking skills
2. Ability to work independently and within multidisciplinary teams
Benefits
Salary based on NIH scale + excellent benefits.
Application Instructions
To apply, please send the following to Dr. Ying Huang (yhuang@fredhutch.org): cover letter, CV, and names of three references.