Post-Doctoral Research Fellow - Biostatistics

Fred Hutchinson Cancer Center • Seattle, WA

12d

About The Position

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Huang Group (Dr. Ying Huang) is seeking a highly motivated postdoctoral fellow in biostatistics to develop innovative statistical methods at the intersection of methodology and impactful biomedical applications.

Requirements

• PhD degree in Biostatistics, Statistics, Mathematics, Computer Science or equivalent required.
• Highest scientific rigor and integrity.
• Strong oral and written communication and critical thinking skills
• Ability to work independently and within multidisciplinary teams

Nice To Haves

• 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
• Proficiency in R or Python
• Experience in C/C++ a plus

Responsibilities

• Attending lab meetings and regular meetings with PI writing/editing/drafting/contributing towards publications and presentations
• Collaborate with multidisciplinary research teams including statisticians, epidemiologists, laboratory scientists, and clinicians to translate statistical findings into biological and clinical insights.
• Contribute to methodological research in areas such as surrogate biomarker evaluation, causal inference, and trial design, leading to publication in peer-reviewed journals.
• Stay current with emerging statistical methods and relevant biomedical literature to inform ongoing research and foster innovation.
• Present research findings through publications, conference presentations, and internal seminars.
• Support grant proposals and progress reports by contributing statistical expertise and analysis results if needed.
• Contribute to methodological research in areas such as immune biomarker evaluation, causal inference, and clinical trial design.
• Demonstrate commitment to scientific integrity, collaboration, and continuous professional growth.

Benefits

• medical/vision
• dental
• flexible spending accounts
• life
• disability
• retirement
• family life support
• employee assistance program
• onsite health clinic
• income-based child care subsidy
• tuition reimbursement
• paid vacation (22 days per year)
• paid sick leave (up to 30 calendar days per occurrence of a qualifying reason)
• paid holidays (13 days per year)
• paid parental leave (up to 4 weeks)

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees