Data Scientist III

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

• Master’s 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.