Data Scientist III

Fred Hutch; Seattle (WA); On-site; USD 127,000 - 201,000; Full time

Benefits offered by this job

Medical/Vision

Dental

Tuition Reimbursement

Onsite health clinic

Paid vacation/Sick leave/Holidays

Job summary

Fred Hutchinson Cancer Center in Seattle seeks a Translational Data Scientist III to build and harmonize multimodal research datasets, applying ML to cancer research and translational projects. You will create data products, support clinical collaborations, and advance data engineering practices across institutional platforms.

The role emphasizes hands-on data science, collaboration with faculty, and contributions to translational programs including Clinical trials and Precision Oncology.

Qualifications

• Master’s or PhD in bioinformatics, statistics, biostatistics, mathematics, computer science, physics, or equivalent.
• Proficiency in Python or R; experience with ML and predictive modeling.
• Experience with diverse data formats (XML, JSON) and Unix/Linux environments.
• Experience in data harmonization, cohort construction, and cross-domain data integration.
• Experience with data security, privacy, and collaboration in translational research.

Responsibilities

• Identify and integrate disparate data sources including clinical, genomic, and imaging data.
• Develop and deploy ML algorithms and predictive models for cancer research.
• Deliver data-driven insights to improve clinical outcomes and support cohort definition.
• Collaborate with researchers and clinicians to translate questions into data products.
• Manage data science projects following security and compliance practices.

Skills

Python

R

Machine learning

Data analysis

Unix/Linux

Git/Github

Docker

Java/C++

Education

Master’s or PhD in Bioinformatics/Statistics/Biostatistics/Mathematics/Computer Science/Physics

Tools

Databricks

Shiny

JavaScript

D3

Job description

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.

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.

Responsibilities

• 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.

Qualifications

Minimum Qualifications

• Master’s or PhD degree (or equivalent in years of experience) 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

• Experienceworking with clinical, genomic,imagingor 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.
• Understandingofreproducible 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 hourly pay 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 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.

Benefits

• 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)
• paid parental leave (up to 4 weeks)

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 [e-mail] or by calling 206-667-4700.