Post-Doctoral Research Fellow - Biostatistics

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.

A Post-Doctoral Research Fellow position in multi-omic data analysis with focus on identifying genomic signatures that are associated with Esophageal adenocarcinoma (EAC) and its precursor Barrett’s esophagus (BE) is available at Fred Hutch Cancer Center. Fred Hutch provides a challenging academic and supportive multi-disciplinary research environment.

We are seeking a recent or prospective doctoral graduate (Ph.D. or equivalent qualification) with a background in large data analysis, for example, in epidemiology, computer science, statistical genetics, population genetics, biostatistics, or related subject areas. This could include, but is not limited to, training in quantitative genetics, bioinformatics with training in quantitative science, statistical genetics, or a closely related field (please note that this is NOT a laboratory-based position). The postdoctoral fellow will work directly with Dr. Charles Kooperberg on analyzing large multi-omic data sets to develop genetic, methylation and RNA-seq signatures that are associated with the development of EAC and the progression of BE to EAC. In particular, the postdoc will conduct the most comprehensive multi-omics study of BE, the key cancer precursor, analyzing transcriptome and methylome data, newly generated by our collaborators, on BE patients and perform integrative analyses leveraging genotypes and environmental risk factors already available through GWAS for BE/EAC. The goal is to identify new genetic risk loci through eQTL mapping and transcriptome-wide association study, and new epigenetic loci mediating and predicting the risk of BE progression to EAC. Ultimately, genetics, epigenetics, and environmental exposures will be incorporated to identify high-risk populations for tailored screening and surveillance and prevent cancer development.

Responsibilities

The successful applicant will work in a multidisciplinary research team supported by an advanced data management and computational infrastructure to perform data analyses, develop and/or implement novel statistical methodology, and publish research results.  The incumbent will have ample opportunity to publish first author papers and present at national meetings. 

Qualifications

MINIMUM QUALIFICATIONS:

• Ph.D. or equivalent degree in epidemiology, biostatistics, computer science or a related field. 
• The position requires a highly motivated individual with excellent written and verbal communication skills. 

PREFERRED QUALIFICATIONS:

• Expertise in computational methods for the analysis of complex, high-dimensional data.
• Knowledge of high dimensional data resources (such as GTEx or ENCODE).

This position may be eligible for relocation assistance.

The annual base salary range for this position is from $67,728 to $140,000 and pay offered will be based on experience and qualifications. 

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).