Staff Scientist

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.

The Mian Lab in the Human Biology Division at Fred Hutch has an immediate opening for a Staff Scientist. The core focus of the Mian Lab is on understanding the basic biology and treatment resistance mechanisms of prostate and bladder cancer. Candidates who are excited about driving projects and leading teams in applying biochemical and molecular biology tools to investigate clinically relevant questions related to genitourinary malignancies are encouraged to apply. Prior experience with laboratory techniques to interrogate the biology of human, murine and other comparative models systems, bioinformatics, data science, machine learning, and experience with large/complex ‘omics’ data in the field of cancer research are ideal. The position has a competitive salary with excellent benefits. Our group employs cutting edge technologies accessible within our lab and through a network of shared resources. We also work closely with other solid tumor oncology research teams throughout the Human Biology Division and Fred Hutch.

Responsibilities

The Staff Scientist will work closely with members of the Mian lab. They will plan, design, and implement experiments on a variety of projects and perform other tasks as required including:

• Conduct research independently as well as contribute to research being done by other team members.
• Address and resolve technical or procedural problems and advise technicians on the interpretation of results.
• Develop and document new technologies and protocols into the laboratory.
• Establish laboratory standards and maintain records.
• Write reports and contribute to scientific publication as warranted by the research.
• Establish and maintain murine model systems in cooperation with the comparative medicine shared resource.
• Prepare and update regulatory documents including institutional biosafety and IACUC protocols.
• Perform 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.
• Identify and implement appropriate bioinformatic tools for analyzing sequence data from tumor genomes including long-range sequencing and emerging genomic technologies and advances.
• Drive the preparation of manuscripts and contribute to research grant applications.
• Implementation, maintenance, and application of best practices in large-scale data management. 

Candidates with strong interest and/or expertise in any of these research areas are highly encouraged to apply

• Cancer genomics and epigenetics, tumor evolution/heterogeneity, spatially resolved techniques for in-situ tumor and tumor microenvironmental analysis, single-cell omics
• Application of statistical modeling, algorithm design, artificial intelligence and bioinformatics to study cancer and genetics.
• Comparative biology using vertebrate or non-vertebrate model systems. Experience with murine tumor model systems is ideal.
• Analysis of la