IT Business Analyst II

Fred Hutchinson Cancer Center•Seattle, WA

2d•Hybrid

About The Position

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. Fred Hutch is seeking an IT Business Analyst II to support an enterprise-wide specimen data management system for the advancement of translational research initiatives by enabling the effective management, integration, and utilization of research, clinical, and biospecimen data within enterprise platform. This role is responsible for leading complex data migration, transformation, and application support efforts that improve data standardization, reduce redundant processes, and enhance the accessibility and downstream value of specimen-associated data to accelerate research discoveries in areas such as cancer and infectious diseases. The position requires strong technical expertise in data management, application development, and process improvement, along with the ability to collaborate with researchers, business stakeholders, end users, and technical teams throughout all phases of project delivery, including assessment, design, development, testing, training, implementation, and ongoing support. This role is responsible for frequently taking the formal or informal lead on project planning tasks, establishing rigorous project documentation, and working on assigned tasks as designated by Fred Hutch team members. At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect. This is a hybrid role.

Requirements

Bachelor’s Degree in Information Technology, Computer Science, or other related field.
Minimum 5 years of IT business analysis experience managing Enterprise applications.
Experience with application development lifecycle methodology as well as IT analysis mythologies such as process flow definition, data flow diagramming etc.

Nice To Haves

Experience with specimen management, laboratory information management systems (LIMS), biobanking, or clinical research platforms.
Experience migrating research, clinical, laboratory, or biospecimen data between enterprise applications.
Proficiency in Python for automation, scripting, and REST API integration.
Familiarity with healthcare or clinical research data standards and regulatory requirements.
Excellent written and verbal communication skills with experience collaborating across business, research, and technical teams.
Ability to manage multiple priorities while delivering high-quality solutions within project timelines.
Experience creating technical documentation, conducting User Acceptance Testing (UAT), and providing end-user training and knowledge transfer.
Excellent organizational and communication skills.

Responsibilities

Lead end-to-end data migration of research, clinical, and biospecimen data from legacy systems into enterprise specimen management platforms, ensuring accurate data conversion, standardization, and integrity.
Design, develop, and optimize SQL Server migration solutions, including reusable parsing logic, data integration workflows, transformation processes, validation scripts, and migration utilities to support efficient, high-quality data migration.
Perform data profiling, cleansing, mapping, reconciliation, and pre-/post-migration validation to identify and resolve data quality issues, including duplicate records, missing data, mapping discrepancies, and integrity violations.
Develop Python automation and API integrations to streamline business processes, improve regulatory compliance, and reduce manual effort.
Troubleshoot and resolve complex production issues involving SQL Server databases, application integrations, migrated data, and enterprise specimen management systems.
Collaborate with business stakeholders, research teams, IT staff, and vendors to integrate 3rd party tools with the enterprise system.
Participate in the design, development, testing, implementation, configuration, maintenance, and documentation of application enhancements, system upgrades, reports, interfaces, and business processes.
Manage technical Help Desk tickets received that are related to supporting the application, including support during system outages.
Contribute to project planning by providing effort estimates, managing issue resolution, administering application security, and following established change management and application support procedures.
Perform other duties as assigned.