Post-Doctoral Research Fellow

2 months ago

Seattle, Washington, United States Fred Hutchinson Cancer Center Full time

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. These values are grounded in and expressed through the principles of diversity, equity and inclusion. 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. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.

We are seeking a highly motivated Postdoctoral Fellow to conduct epidemiologic research focused on colorectal cancer multi-omics at the Fred Hutchinson Cancer Center (Fred Hutch) in Seattle, Washington. The successful candidate will be paid a competitive salary and perform rigorous computational and statistical analyses leveraging large-scale multi-omics data to advance our understanding of cancer biology, discover prognostic and predictive biomarkers, and improve health disparities. Data modalities include cutting-edge highly multiplexed imaging-based spatial single cell proteomics, NGS-based spatial transcriptomics, tumor and germline DNA sequencing data, RNAseq and harmonized detailed epidemiological, lifestyle and clinical data from ethnically diverse colorectal cancer patients.

The postdoctoral fellow will be mentored by Drs. Jeroen Huyghe and Ulrike Peters and will have the opportunity to work with other Fred Hutch faculty as secondary mentors on multiple NIH funded molecular epidemiological studies for colorectal cancer risk and survival in racially and ethnically diverse populations. The successful candidate will work in a collegial environment and will join highly collaborative multidisciplinary and diverse research teams supported by an advanced data management and computational infrastructure. The Fred Hutch offers an academically challenging, supportive, and multi-disciplinary research environment and the postdoctoral fellow will be able to take full advantage of training, education, and mentorship opportunities offered through the organization. Please note that this is not a laboratory-based position.

Cover letters are highly desired from applicants. Please address to Drs. Huyghe and Peters and include a 1-2 page summary describing your research interests, including the contact information for three professional references.

Responsibilities

  • Perform integrative computational and statistical analyses and interpretation of large multi-omics data to advance understanding of colorectal cancer tumor biology, identify novel tumor-based prognostic and predictive biomarkers for colorectal cancer and improve health disparities.
  • Present results at project meetings and scientific conferences.
  • Write and publish first-author manuscripts and contribute to other manuscripts as co-author.

Qualifications

Minimum Qualifications:

  • A Ph.D. or equivalent degree in bioinformatics, computational biology, epidemiology, biostatistics, computer science or related quantitative science field is required.
  • Applications from prospective doctoral graduates are accepted.
  • Strong programming skills in R and Python, along with familiarity with best practices for scientific computing.
  • Rigorous training in statistics. Ability to analyze data using multivariable modeling including logistic regression, Cox proportional hazards regression, linear mixed and GEE models.
  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Demonstrated experience in computational and statistical analysis of large multi-omics data; Experience in analysis of imaging-based spatial omics data.
  • Expertise in cancer biology and genomics
  • Experience with ML models

The annual base salary range for this position is from $67,728 to $100,000 and pay offered will be based on experience and qualifications.

This position may be eligible for relocation assistance.

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