Staff Scientist

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. 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 Senior Staff Scientist position in the Computational Biology Program, Human Biology Division, and Precision Oncology is available immediately. Candidates who are excited about driving projects and leading teams in applying bioinformatics, data science, machine learning, and explainable AI approaches to large/complex ‘omics’ data in the field of cancer research are encouraged to apply. The position has a competitive salary with excellent benefits.

We have established a research team working with interdisciplinary collaborators who have expertise in genomics, genetics, experimental biology, cancer biology, and clinical cancer research. We are seeking a highly motivated individual with extensive experience in applying computational and analytical approaches to study genomics and epigenetics of cancer.

Responsibilities:

The research projects and responsibilities for this Staff Scientist position include:

• Perform rigorous analysis of cancer genomes to understand tumor phenotype, progression, evolution, heterogeneity, metastasis, and treatment resistance.
• Implement analysis tools/pipelines and interpretation of results for coding and non-coding genome alterations, chromosome copy number alterations, genome rearrangements and 3D structure, and mutational signatures.
• Collaborate with Fred Hutch scientists to refine computational research questions and identify opportunities for implementing novel computational, statistical and machine learning methods to large datasets including genetic and omics data.
• Identify and implement appropriate bioinformatic tools for analyzing sequence data from tumor genomes including long-range sequencing and emerging genomic technologies and advances.
• Develop and use computational approaches to analyze circulating tumor DNA from liquid biopsies.
• Drive the preparation of manuscripts and contribute to research grant applications.
• Implementation, maintenance, and application of best practices in large-scale data management.

Qualifications:

Required Qualifications:

• A PhD in computer science, computational biology, bioinformatics, data science, biostatistics, biomedical engineering, computer/electrical engineering, physics, or other related fields with a focus on applying computation analysis of large sequence-based molecular data in an academic research lab or industry setting.
• Publication of peer reviewed article in the field of cancer genomics
• Proficiency in programming languages and environments (e.g. Python, R, linux command line, cluster computing, cloud computing, workflow management).
• A minimum of 5 years Post-Doctoral experience in computational genomics or related fields