Sr. 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. 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. The Sr Staff Scientist identifies, evaluates, and advances technology opportunities that support translational research and data-driven discovery. This role works in close partnership with OCDO infrastructure and data engineering leadership to identify technical solutions to meet emerging translational needs, assess potential data and AI technologies, and guide the early development of technical solutions related to our multimodal patient data platform. This role works in direct collaboration with the OCDO Data Science Staff Scientist to evaluate feasibility of translational data projects at the programmatic level that require integration across infrastructure and data analysis to ensure complete solutions that meet the needs of Clinical Trials, Precision Oncology, and disease-focused translational programs integrating clinical and research efforts. The position focuses on discovery and evaluation of translational research needs, assessment of emerging technologies, and coordination with internal and external partners to frameviableimplementation pathwaysfor complex data and technology projects. This is a technically groundedrole that bridges translational research use cases with institutional data platforms, cloud infrastructure, and security and governance considerations. Responsibilities Identifytechnology orientedtranslational research pain points, integration gaps, andevaluateemerging technology needs across research, clinical, and data domainswith our TranslationalDataProgram faculty leadership. Partner with translational researchers, faculty, and operational teams to translate scientific and operational needs into clearly defined technical problem statements. Plan, write and execute grant-funded technologyinitiativesas PI, co-PI or Key Personnel on program and/or research grants for the OCDO or in support of partner grants wherein OCDO is a core or subaward. Evaluate emerging technologies, platforms, tools, and services relevant to translational research, including cloud services, data platforms, analytics tools, and AI-enabled systems. Assess the feasibility, interoperability, scalability, and long-term sustainability of potential technologies within our suite of toolsvia implementinghands-on pilot projectsin partnership withourengineering leadership.. Surface technical dependencies, architectural considerations, and tradeoffs for review by Platform Architecture and Data Engineering leadership. Identifydata security, privacy, compliance, and governance considerations early in the technology evaluation process. Partner with security, privacy, and data governance stakeholders to ensure translational use cases are appropriately assessed and aligned with institutional requirements. Coordinate with internal technical teams and externaldata and/or technologyvendors or partners during technology evaluation and early planning phases. Produce clear documentation, technical assessments, and recommendations to support institutional decision-makingregardingnew translational technologies. Communicate technical concepts, evaluation findings, and recommendations effectively to both technical and non-technical audiences. Qualifications

MINIMUM QUALIFICATIONS:

PhD in bioinformatics, computational biology, biomedical informatics, genomics, systems biology, biomedical engineering, or a related quantitative biomedical field. Minimum 5 years of experience working with biomedical or translational research data in an academic medical center, research institute, or equivalent data-intensive research environment.

PREFERRED QUALIFICATIONS:

Demonstratedexpertiseinbioinformatics, scientific computing, or computational analysis of biomedical data, including experience working with large and complex research datasets. Strong understanding ofmodern data infrastructure, including cloud-based research environments, data platforms, and data engineering concepts.Experience with AWS and/or Databricks is of particular interest. Experience working withclinical or translational datasets(e.g., clinical data models,genomicsdata, imaging data, or other multimodal biomedical data)particularly in oncology and/or clinicaltrials. Demonstrated ability tolead independent technical or scientific initiatives that involve coordination across multiple teams, departments, or technical domains. Experienceevaluating and selecting technologies or analytical approachesin support of scientific or data infrastructure initiativessuch ashighperformancecomputingtools and platforms, data-visualization applications. Working knowledge ofdata governance, security, privacy, and compliance considerationsassociated with biomedical and clinical data. Strong ability totranslate complex scientific or operational problems into structured technical questions and potential solution pathways. Excellent written and verbal communication skills, including the ability to produceclear technical documentation, evaluations, and recommendationsfor diverse audiencesas well as creationofand contribution togrant proposals.. Demonstrated ability tocollaborate effectively with scientists, engineers, IT partners, and institutional stakeholders. The annual base salary range for this position is from $126,984 to $200,678, and pay offered will be based on experience and qualifications. This position may be elibigle for relocation.Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.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), and paid parental leave (up to 4 weeks). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. 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 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 View email address on click.appcast.io or by calling View phone number on click.appcast.io. #J-18808-Ljbffr Fred Hutchinson Cancer Research Center