Post-Doctoral Research Fellow - Genomics jobs in United States
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Fred Hutch · 13 hours ago

Post-Doctoral Research Fellow - Genomics

Fred Hutchinson Cancer Center is an independent, nonprofit organization focused on cancer and infectious diseases. They are seeking a highly motivated individual for a Post-Doctoral Research Fellow position in the Herbold Computational Biology Program to develop computational methodologies for studying cancer genomes and liquid biopsies.

Hospital & Health Care
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Responsibilities

Liquid Biopsy Analysis and Methods Development – develop new computational methodologies for exploiting liquid biopsies to study human diseases
Prenatal diagnostics and Pregnancy disorders – study of prenatal cell-free DNA to study pregnancy disorders such as preeclampsia, including development of new methodologies for early detection and monitoring
Cancer Genome Analysis – study tumor evolution, non-coding genome alterations, genome rearrangements and chromatin organization, cell plasticity, metastatic disease
Multi-omic Data Integration –using genome, transcriptome, methylome, and chromatin/epigenetic data modalities to study cancer subtypes, phenotypes, heterogeneity, and resistance to therapy

Qualification

Computational biologyBioinformaticsProgramming RProgramming PythonAnalyzing sequencing dataHigh performance computingCloud computingIndependent thinkingCommunication skillsDetail-orientedTeamwork

Required

Applicants must have a PhD and/or MD (or equivalent) with training in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, computer/electrical engineering, physics, or other related fields
Work well in team environments, have strong communication/organization skills and is detail-oriented
Highly motivated individual who think independently but also enjoy working in a dynamic, collaborative, multidisciplinary team
Strong programming experience (R, Python, Matlab, Java, C/C++, Perl or other languages for research)
Experience with analyzing sequencing data is required
Knowledge of cancer biology or prenatal/pregnancy disorders is a strong asset
Experience with high performance computing environments and cloud computing environments is a strong asset
Applicants must have a demonstrated publication track record

Preferred

Prenatal diagnostics, pregnancy disorders, cancer genomics, liquid biopsies, tumor evolution/heterogeneity
Application of agent-based modeling, deep learning, statistical modeling, algorithm design, and machine learning to study cancer and genetics
Interpretation of data generated from large, complex genome, epigenome, and transcriptome data

Benefits

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)
Paid parental leave (up to 4 weeks)

Company

Fred Hutch

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Fred Hutch is an independent, nonprofit organization that also serves as the cancer program for UW Medicine.

Funding

Current Stage
Late Stage

Leadership Team

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David Browdy
Vice President and Chief Financial Officer
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Niki Robinson
Vice President & Chief Operating Officer
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