Data Scientist III

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 worlds 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 worlds 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 Translational Data Scientist III develops curates and analyzes multimodal research datasets that integrate clinical genomic and other translational data modalities. This role focuses on building analytically ready datasets and supporting collaborative translational research projects under the guidance of senior scientific and technical leadership.

Working closely with the Translational Data Science Staff Scientist this position contributes to data harmonization cohort construction and cross-domain integration using institutional data platforms and modern data engineering practices. The role emphasizes technical development structured learning and applied collaboration with research teams and program level efforts.

This is a hands-on technical role situated at the interface of translational science data engineering and research collaboration. This role builds data science solutions applying LLMs/AI to process structure and contextualize health data and creating data products that are customize to the needs of our translational research programs at Fred Hutch including Clinical trials Precision Oncology disease-focused programs and new data science capabilities both at Fred Hutch and across institutions via the Cancer AI Alliance.

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.

• Identify and integrate disparate data sources both internal and external including clinical data genomic data imaging-derived data and well-established publicly available databases.
• Develop and deploy machine learning algorithms predictive models and classification methods to advance cancer research and inform clinical decision making applying reproducible data processing practices within cloud-based analytic environments.
• Deliver novel data-driven insights to improve outcomes in the treatment of cancer supporting cohort definition feature engineering and dataset standardization.
• Identify areas of growth for the data science initiative and actively engage in enhancing the breadth and reach of data science across the Fred Hutch campus.
• Collaborate with faculty collaborators researchers and clinicians to identify high-impact opportunities for data science applications translating research questions into structured data products and tools
• Manage data science projects from creation to completion following established practices for data security privacy and compliance.
• Communicate results to technical and non-technical audiences contributing to documentation of datasets assumptions and transformation logic.

MINIMUM QUALIFICATIONS:

• Masters or PhD degree in Bioinformatics Statistics Biostatistics Mathematics Computer Science Physics or equivalent required with a minimum of two years of related experience.
• Core competency in at least one of the following: genomics natural language image processing medical records or claims.
• Proficiency in R or Python.
• Knowledge of statistical analysis machine learning and predictive modeling.
• A variety of data formats and markup languages (e.g. XML JSON RMarkdown).
• Unix/Linux and distributed computing.
• Visualization software: Shiny Javascript D3.
• Code version control (Git Github) and containers (Docker).
• Proficiency in at least one common object-oriented programming language (e.g. Java C C#).
• Experience in application development visualization and user design.

PREFERRED QUALIFICATIONS:

• 3-5 years of related experience.
• Experience working with clinical genomic imaging or other biomedical research data ideally in Databricks or similar platform.
• Demonstrated experience using Python R or SQL for data analysis and transformation.
• Familiarity with structured data models and relational data environments.
• Understanding ofreproducible research or analytic workflows.
• Ability to work collaboratively across scientific and technical teams.
• Strong organizational and documentation practices.
• Exposure to clinical data models such as OMOP or similar standardized healthcare data structures.
• Experience working in a translational research or academic medical environment.
• Familiarity with cloud-based research computing environments.
• Experience supporting collaborative research projects or shared data resources.

The annual base salary range for this position is from $126984 to $200678 and pay offered will be based on experience and qualifications. This position may be eligibile for relocation assistance.

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 (12-22 days per year) paid sick leave (12-25 days per year) paid holidays (13 days per year) and paid parental leave (up to 4 weeks).