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Postdoctoral In Plant Genomics Jobs in Seattle, WA

The Golden Lab in the Department of Neurobiology and Biophysics has an outstanding opportunity for ... Collect samples for genotyping and perform genotyping PCR. * Transfer mouse cages between ...

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Postdoctoral In Plant Genomics information

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$28.5K

$67.2K

$95K

How much do postdoctoral in plant genomics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for postdoctoral in plant genomics in Seattle, WA is $67,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $75,700.00 per year, depending on experience, location, and employer.

What is a postdoctoral researcher in plant genomics?

A postdoctoral researcher in plant genomics is a scientist who has completed their Ph.D. and is engaged in advanced research focused on the genetic makeup of plants. Their work typically involves designing and conducting experiments, analyzing genomic data, and publishing findings related to plant genetics, evolution, or biotechnology. Postdocs in this field often work in academic, government, or industry labs, contributing to our understanding of plant biology and helping to develop improved crop varieties. They may also mentor students and collaborate with other researchers.

What are the typical collaborative opportunities for a postdoctoral in plant genomics within academic or research institutions?

Postdoctoral researchers in Plant Genomics often work in interdisciplinary teams, collaborating closely with molecular biologists, bioinformaticians, and agronomists. These collaborations can involve joint research projects, co-authoring publications, and participating in grant applications. Engaging with diverse experts not only enhances research outcomes but also provides valuable networking and learning opportunities, which can be crucial for career advancement. Many institutions also encourage postdocs to mentor graduate or undergraduate students, further developing leadership and communication skills.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in plant genomics, and why are they important?

To thrive as a Postdoctoral Researcher in Plant Genomics, you need a PhD in plant biology, genetics, or a related field, with expertise in genomics and molecular biology techniques. Proficiency with bioinformatics tools, next-generation sequencing platforms, and data analysis software like R or Python is typically required. Strong problem-solving abilities, critical thinking, and effective scientific communication skills help you collaborate and share findings. These skills ensure rigorous research, accurate data interpretation, and impactful contributions to advancing plant genomics knowledge.

What are popular job titles related to Postdoctoral In Plant Genomics jobs in Seattle, WA?

For Postdoctoral In Plant Genomics jobs in Seattle, WA, the most frequently searched job titles are:

What cities near Seattle, WA are hiring for Postdoctoral In Plant Genomics jobs?

Cities near Seattle, WA with the most Postdoctoral In Plant Genomics job openings:

Infographic showing various Postdoctoral In Plant Genomics job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $67,168 per year, or $32.3 per hour.

Post-Doctoral Research Fellow

Fred Hutchinson Cancer Center

Seattle, WA • On-site

$55K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

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.
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.
This position is for a Post-Doctoral Research Fellow to engage in biomedical studies that apply Artificial Intelligence (AI) approaches and methods with the long-term objective of improving clinical cancer care. The training, project development, and application will be mentored by Dr. Peter Nelson and Dr. Jeff Leek, and members of their research groups. The projects will integrate high dimensional clinical data with outcomes to specific therapeutics to generate 'patient similars' or 'digital twins'. The studies will also develop methodology to produce synthetic control cohorts for comparative assessments against novel therapeutics evaluated in clinical trials. The project will interface with clinical and laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab.
The Fred Hutch Data Science Lab is involved in large, education focused initiatives and biomedical research funded by NIH grants. These projects involve delivering training materials to researchers to help catalyze their work in a scalable manner, as well as innovating new methods for understanding or treating disease.
Our key projects include.
  • Primary research using Artificial Intelligence (AI) and bioinformatics and biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information.
  • Analysis of large-scale clinical, genomic, and molecular datasets.
  • Development and evaluation of predictive models and statistical approaches to understand treatment outcomes.
  • Integration of diverse data types to identify features associated with therapeutic response, resistance, or toxicity.
  • Collaboration with multidisciplinary teams to interpret findings and support translational applications.

Responsibilities
Specifically, the postdoc will have the following duties:
  • Developing new statistical models leveraging public and investigator collected biomedical data relating to the diagnosis and treatment of patients with cancer.
  • Writing new R packages or Shiny Apps for implementation of developed methodology.
  • Applying AI and machine learning (ML) tools (including Python, R, and possibly other languages) to test and evaluate biomedical hypotheses.
  • Developing benchmarks and working together with staff to evaluate algorithms on those benchmarks.
  • Contributing to writing papers and review of the current literature.
  • Other duties as assigned.

Qualifications
MINIMUM QUALIFICATIONS:
  • A PhD in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine learning, or another related statistical or computational discipline
  • Creative, thoughtful, and a communicative collaborator
  • Familiarity with Python, R, R packages, and RMarkdown
  • Experience with version control using GitHub
  • A willingness to learn new informatics content
  • A careful writer and diligent editor
  • Experience with statistics and machine learning

PREFERRED QUALIFICATIONS:
  • Experience using computational methods to analyze large-scale high-dimensional biomedical data relating to clinical information, genetics, genomics, radiomics, and/or population-based outcomes.
  • Strong track record of peer-reviewed publications, high-impact manuscripts, patents, or translational tools relevant to position.
  • Experience collaborating with clinicians, industry partners, or translational research teams.
  • Experience with Quarto, Python, and/or other programming languages.
  • Experience and interest in data science or informatics education.
  • Experience with deep learning applications for biomedical research or other aspects of scientific inquiry or data analysis.

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. This position may be eligible for relocation assistance.
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.
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/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.