Description

Description

The Division of Public Health Sciences (PHS) at the Fred Hutchinson Cancer Center (Fred Hutch) invites applications for a professor-track faculty position in the Biostatistics Program at the Assistant, Associate, or Full Professor rank. We welcome applicants with a PhD (or equivalent) in biostatistics, statistics, or a closely related quantitative field.

We seek scholars with training in biostatistics/statistics and demonstrated statistical thinking-the ability to translate scientific questions into quantitative frameworks, interrogate assumptions, design principled analyses, and connect methods to impact. The ideal candidate has passion for advancing methodology to solve cutting-edge biomedical questions, particularly in cancer research; can adapt to new technologies/techniques (e.g., artificial intelligence (AI) and machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly with colleagues in other disciplines; and values open-mindedness and bold, unbounded research ideas.

The Biostatistics Program offers a supportive environment for innovation, with deep ties across basic, clinical, and population sciences and access to rich data, computing, and collaborative teams. PHS at Fred Hutch excels in leading large-scale population and prevention studies, providing specimen- and data-rich resources that drive innovative biostatistical and statistical methods. Opportunities for broader impact include initiatives such as the Cancer AI Alliance: https://www.canceralliance.ai. All faculty at the Fred Hutch are expected to lead research programs and to receive support to protect their time for this pursuit. This position strongly supports independent research advancing biostatistical and statistical methodology.

About the PHS Biostatistics Program
• Faculty: 41 with primary or internal and external joint appointments
• Staff Scientists (research track): 7
• Affiliate Faculty: 27
• Staff: 30
• Trainees (postdocs and students): 45

• Research spans eight hubs-Statistical Learning & Data Science; Genomics & Genetics; Imaging; Mobile & Wearable Data Science; Epidemiology; Health Policy; Medical Devices & Diagnostics; Teaching in the Health Sciences-with example topics: causal inference, adaptive trials, network methods; single-cell/spatial omics, statistical genetics, microbiome; imaging analytics/radiomics; mobile health, digital phenotyping; EHR analytics, survival and longitudinal analysis, risk prediction; comparative effectiveness, policy modeling; biomarkers, diagnostics, precision oncology (including immuno-oncology).

• Home to multiple coordinating centers for clinical trials in cancer prevention and early detection

• Strong connections with Departments of Biostatistics and Statistics at the University of Washington (UW)

• Extensive collaboration with biostatistics/statistics/bioinformatics faculty in other Fred Hutch divisions and at the UW

• Collaborations in data science and AI enabled by Seattle's thriving tech/data-science ecosystem

About Fred Hutch

Fred Hutch 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, 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.

Responsibilities
• Lead an independent, externally fundable research program pertinent to cancer or population health, with the expectation of competing for and sustaining PI-level extramural funding
• Collaborate with biomedical researchers and multidisciplinary teams across Fred Hutch, UW, and partner institutions in alignment with independent research program
• Communicate statistical concepts effectively to non-statistical audiences; promote reproducible and rigorous science
• Mentor trainees and junior scientists; contribute to graduate education and short courses as desired
• Contribute to program, division, and professional service

• Perform primary activities on-site at Fred Hutch

Qualifications

Required
• PhD (or equivalent) in biostatistics, statistics, or a closely related field by start date
• Solid training in biostatistics or statistics and demonstrated statistical thinking
• Evidence of research capacity (publications, software, or equivalent) with a clear plan for independent research

Preferred (strengths may vary by candidate)
• Methodological interests aligned with cancer/population health (e.g., survival/longitudinal, causal inference, high-dimensional/omics, clinical trials, EHR/real-world data, AI/ML)
• Experience with emerging data types (EHR, registries/biobanks, single-cell/spatial omics, imaging, digital/mobile health) and new technologies/techniques (AI/ML)

• Excellent written and oral communication skills and a strong willingness to collaborate with researchers in other disciplines
• Open-mindedness and enthusiasm for unbounded, innovative research ideas in a collaborative environment
• Track record of collaboration and cross-disciplinary communication

• For Associate and Full Professor candidates, a history of PI-level extramural funding is especially valued

Rank-Specific Expectations
• Assistant Professor: Clear potential for methodological or other scientific innovations, impactful collaboration, and future PI-level funding
• Associate Professor: Record of sustained methodological or other scientific contributions, extramural funding, and excellence in collaboration and mentoring
• Full Professor: Field-leading methodological or other scientific contributions with sustained, multi-source funding; demonstrated leadership in collaborative research and program development; excellence in mentoring and training (including junior faculty/postdocs); and significant service to the department, university, and profession

Application Instructions

Please submit:

1. Cover Letter (research fit; collaboration vision)
2. Curriculum Vitae
3. Research Statement (≤3 pages) describing current and future work, including a ≤100-word "research vision" paragraph explaining why the work matters and what you see as important biostatistical research
4. Mentorship & Training Statement (≈1 page) addressing the following prompt: What is your mentorship philosophy and approach, and what has informed them? Please describe specific actions you have taken or plan to take to create a collaborative and effective training and mentorship environment in which all trainees and staff can thrive
5. One representative publication (or preprint)
6. References: Assistant Professor applicants should provide 3 letters of reference; Associate and Full Professor applicants should provide contact information for at least three referees for which we will solicit references at the appropriate stage of the search

Review timeline: Applications received by December 1, 2025, will be guaranteed consideration. Applications received after that date may be considered on a rolling basis as long as the position remains open.

Compensation & Benefits

The annual base salary range for this position is from $183,641 to $189,150 for faculty hired at the Assistant Professor rank, from $207,090 to $215,374 for faculty hired at the Associate Professor rank and from $235,801 to $324,226 for faculty hired at the Full Professor rank. Pay for Faculty positions is based on a variety of factors, including degree, specialty, clinical practice and experience. Faculty without credited time in rank will generally start at the entry rate for their relevant specialty and rank. This position is eligible for relocation assistance or a sign-on bonus.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (up to 13 days per year), and paid parental leave (up to 4 weeks).

Equal Employment Opportunity Statement

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We 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 Human Resources at hrops@fredhutch.org or by calling 206-667-4700.