Post-Doctoral Research Fellow

{
  "content_hash": "0ca2716e025998bf39d9c7d4f50533479a0cb47af0a0315907fa44aa28451d30",
  "source_hash": "15c11eacfa727e0da3e4bf653e1ddca325b92c2b7798b653a81ae56f5e4a0d0f",
  "last_changed_at": "2026-06-01T13:45:28.631Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Seattle, WA, US",
    "city": "Seattle",
    "region": "WA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 95014,
  "salary_min": 80172,
  "inferred_at": "2026-06-06T20:04:03.654Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Seattle, WA, US",
      "city": "Seattle",
      "region": "WA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}

{}

{
  "json_ld": {
    "url": "https://careers-fhcrc.icims.com/jobs/30349/post-doctoral-research-fellow/job",
    "@type": "JobPosting",
    "title": "Post-Doctoral Research Fellow",
    "@context": "http://schema.org",
    "datePosted": "2025-12-08T05:00:00.000Z",
    "description": "<h2>Overview</h2>\n<p>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.</p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p>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.</p>\n<p>The goal of its Public Health Sciences Division, which is home to the nation’s oldest program devoted to cancer prevention research, is to identify strategies that would ultimately reduce the incidence of and mortality from cancer and other diseases.</p>\n<h2>Responsibilities</h2>\n<p>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, but are not limited to, 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. The applicant will have the opportunity to engage in research across a wide range of statistical areas and will gain access to data from various real-world studies. These efforts will result in both methodological and collaborative publications in high-quality, peer-reviewed journals.</p>\n<h2>Qualifications</h2>\n<p><strong>MINIMUM QUALIFICATIONS:</strong></p>\n<ul>\n <li>Suitable applicants should complete (or nearly complete) a Ph.D. or equivalent in Statistics,Biostatistics, or a similar quantitative field prior to their appointment.</li>\n <li>The candidate should have solid training in statistical methods and computational skills.</li>\n</ul>\n<p><strong>PREFERRED QUALIFICATIONS:</strong></p>\n<ul>\n <li>Experience with real-world data analysis, AI and machine learning, causal inference, and precision medicine are plus.</li>\n</ul>\n<p><strong>Please include the following materials in your application:</strong></p>\n<ul>\n <li>CV;</li>\n <li>Two (2) publication samples or preprints;</li>\n <li>Contact information for three (3) references.</li>\n</ul>\n<p>The annual base salary range for this position is from $80,172 to $95,014, and pay offered will be based on experience and qualifications.</p>\n<p> </p>\n<p>This position may be eligible for relocation assistance.  </p>\n<p> </p>\n<p>This position is not eligible for H-1B sponsorship at this time.</p>\n<p> </p>\n<p>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).</p>\n<h2>Additional Information</h2>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 [email protected] or by calling 206-667-4700.",
    "directApply": true,
    "jobLocation": [
      {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "98109-1024",
          "addressRegion": "WA",
          "streetAddress": "1100 Fairview Ave N",
          "addressCountry": "US",
          "addressLocality": "Seattle",
          "postOfficeBoxNumber": "UNAVAILABLE"
        }
      }
    ],
    "validThrough": "2027-12-08T05:00:00.000Z",
    "employmentType": "FULL_TIME",
    "hiringOrganization": {
      "name": "UNAVAILABLE",
      "@type": "Organization",
      "sameAs": "http://www.fredhutch.org/careers"
    },
    "occupationalCategory": "Biostatistics, Bioinformatics and Computational Biology"
  },
  "detail_meta": {
    "url": "https://careers-fhcrc.icims.com/jobs/30349/post-doctoral-research-fellow/job?in_iframe=1",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 40787,
    "compact_response_bytes": 5965,
    "original_response_bytes": 40787
  },
  "sitemap_job": {
    "id": "30349",
    "url": "https://careers-fhcrc.icims.com/jobs/30349/post-doctoral-research-fellow/job",
    "slug": "post-doctoral-research-fellow",
    "lastmod": "2026-04-28T14:42:56-04:00"
  },
  "detail_errors": []
}