Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutchs pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nations first cancer prevention research program, as well as the clinical coordinating center of the Womens Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.
The Hutch Data Commonwealth (HDC) represents a new organization within the Fred Hutchinson Cancer Research Center with a mission to develop new capabilities and resources to facilitate the centers interaction with large and complex data sets. HDC data scientists partner with center investigators in research leveraging high-dimensional data to drive requirements into the HDC product team where data and software engineers are responsible for developing and supporting robust data management and analysis platforms and tools.
The Data Scientist provides collaborative and innovative analytic support across all divisions of the center, leveraging big data to support and empower center investigators. The Data Scientist will be responsible for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, communication and presentation of results, and putting these solutions into production. Core responsibilities are:
Identify and integrate disparate data sources, both internal and external, structured and unstructured clinical or research data from Consortium partners or external collaborators, as well as from publicly-available databases
Develop and deploy machine learning algorithms, predictive models, and classification methods to advance cancer research and inform clinical decision making
Deliver novel, data-driven insights to improve outcomes in the treatment of cancer
Identify areas of growth for the HDC data science team and actively partner with the Fred Hutch Data Science IRC to enhance the breadth and reach of data science across Fred Hutch
Collaborate with researchers and clinicians to identify high-impact opportunities for data science applications
Manage data science projects from creation to completion
Communicate results to technical and non-technical audiences
Qualities in a candidate necessary for success include:
A strong desire to explore, investigate, dig, and generally uncover patterns and puzzles in data while maintaining a strong sense of thoughtful and pragmatic solutions
Ability to advise investigators and management in clear language about results and new directions
Ability not only to work autonomously, but also to work collaboratively within multidisciplinary teams including statisticians, computational biologists, data engineers, epidemiologists, clinicians, administrators, etc.
A Bachelors degree or higher in computer science, data science, statistics, informatics, or equivalent
Core competency in at least one of the following: deep learning, statistics, genomics, natural language, image processing, medical records or claims
Proficiency in Python
Knowledge of statistical analysis, machine learning, and predictive modeling
Awareness of a variety of data formats and markup languages (e.g., csv, JSON, XML)
General experience with the following:
Common data storage mediums (e.g., SQL, Excel)
Version control (e.g. git)
Proven ability to collaborate with various levels of internal and external partners, being able to work independently, with heavy multi-tasking
Excellent interpersonal skills and professional diplomacy
Excellent verbal and written communication skills
Experience with messy, real life data sets. Experience with NoSQL models and big data platforms (e.g., MongoDB, Hadoop, Hive)
Experience with APIs and container environments (e.g., Flask, Docker, Kubernetes)
Experience architecting, implementing, and tuning deep learning models
Experience with R and statistical computing
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At Fred Hutchinson Cancer Research Center, teams of world-renowned scientists and humanitarians work together to prevent, diagnose and treat cancer, HIV/AIDS and other diseases. Researchers are discovering new ways to detect cancers earlier, improve treatments, and learn how to prevent cancers from growing. Although Fred Hutchinson opened its doors in 1975, its history began about 20 years before that. In 1962 Fred Hutchinson envisioned a center devoted to studying cancer, a disease that took his brother’s life. Today Fred Hutchinson is contributing to the next waves of breakthrough treatments and prevention strategies. Fred Hutchinson collaborates with the Seattle Cancer Alliance, the National Cancer Institute, and the University of Washington.