Staff Scientist

at  Fred Hutchinson Cancer Center

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.

MINIMUM QUALIFICATIONS:

• PhD and/or MD degree(s) in a biomedical science, developmental biology, cancer biology, immunology, or related field.
• Has completed one or more postdoctoral fellowships in the field of cell and molecular biology or related research fields.
• At least 5 years of lab experience in cancer research.
• Publication of peer reviewed articles in the field of cancer research, molecular evolution, or developmental biology.
• Experience in a variety of molecular and cellular biology techniques, and have strong fundamental knowledge of cancer genetics and epigenetics.

PREFERRED QUALIFICATIONS:

• Experience in murine work, high throughput methods, RNA biology, and/or computational biology are highly desirable.
• Molecular biology techniques, including molecular cloning, nucleic acid isolation, PCR, and protein expression analysis.
• Experience performing gene transfer studies using lentiviral infection of human cell cultures.
• Computational processing of RNA and DNA sequencing files.
• Experience primary and established immortalized cell cultures.
• Teaching experience in related fields.
• Expertise in literature review and interpretation of cancer (epi)genomics data.
• Experience in writing research grant applications.
  A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.
  The annual base salary range for this position is from $82,123 to $185,000 and pay offered will be based on experience and qualifications.
  This position may be eligible for relocation assistance.
  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, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (up to 13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 12 months for professor track faculty, up to 6 months for other scientific staff).
  Our Commitment to Diversity: We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700

• 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