> Markdown version of [/jobs/ext/2060701-data-scientist-iii](https://www.wearedevelopers.com/jobs/ext/2060701-data-scientist-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist III - **Company:** Fred Inc - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $126,984.0 - $200,678.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Data Analysis, Computing Platforms, Bioinformatics, C Sharp (Programming Language), C++ (Programming Language), Clinical Data Repository, Cloud Computing, Databases, Information Engineering, Data Security, Data Sharing, Relational Databases, Distributed Systems, Markup Languages, Github, JSON, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Extensible Markup Language (XML), Data Processing, Feature Engineering, Large Language Models, Git, Information Technology, Data Management, Software Version Control, Docker, Databricks - **Published:** August 14, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88030839/1 ## About the Role * 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., * 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. * 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. ## Description 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. 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)