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Post-Doctoral Research Fellow

Job in Seattle, King County, Washington, 98127, USA
Listing for: Fred Hutch
Full Time position
Listed on 2025-12-13
Job specializations:
  • Science
    Clinical Research, Medical Science
Salary/Wage Range or Industry Benchmark: 77976 - 95014 USD Yearly USD 77976.00 95014.00 YEAR
Job Description & How to Apply Below

Join to apply for the Post-Doctoral Research Fellow role at Fred Hutch

Overview

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.

Responsibilities

The successful applicant will work closely with Dr. Yingqi Zhao, and other collaborators to develop statistical and machine learning methods for medical decision-making in cancer prevention and early detection. Key areas of focus include designing clinical decision rules for cancer early detection using real‑world data such as Electronic Medical Records (EMRs), developing AI tools for integrating multimodal data in early detection, and developing EMR‑based algorithms to identify high‑risk populations.

  • Design clinical decision rules for cancer early detection using real‑world data such as EMRs.
  • Develop AI tools for integrating multimodal data in early detection.
  • Develop EMR‑based algorithms to identify high‑risk populations.
Qualifications MINIMUM QUALIFICATIONS
  • Suitable applicants should complete (or nearly complete) a Ph.D. or equivalent in Statistics, Biostatistics, or a similar quantitative field prior to their appointment.
  • The candidate should have solid training in statistical methods and computational skills.
Preferred Qualifications
  • Experience with real‑world data analysis, AI and machine learning, causal inference, and precision medicine are plus.
Please Include The Following Materials In Your Application
  • CV;
  • Two (2) publication samples or preprints;
  • Contact information for three (3) references.

The annual base salary range for this position is from $77,976 to $95,014, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance. This position is not eligible for H-1B sponsorship at this time.

Benefits

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, 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), and paid parental leave (up to 4 weeks).

Additional

Information

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 or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops or by calling .

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