Data Scientist II-III

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. These values are grounded in and expressed through the principles of diversity, equity and inclusion. 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. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.

The Chief Data Officer of Fred Hutch, Jeff Leek, established Fred Hutch’s Data Science Lab (DaSL) to develop and support the overall data strategy for the organization. The mission of the Data Science Lab to ensure an effective data ecosystem at Fred Hutch by developing a modern, well documented, well implemented, overall data strategy that evolves with the needs and capabilities of those leveraging data at Fred Hutch regardless of “where they live” from the clinic to the research groups. We believe focusing on people is critical in building a strong, dynamic community united around using data to improve human health and cancer care. To do this, we aim to build a diverse, hybrid team that is inclusive, open, collaborative, and supportive both within our team and with our collaborators (find more about our values and culture). We are strong advocates for open science and reproducible research, thus develop our work in the open as much as possible. We rely heavily on written communication and continuous collaboration in order to support our hybrid team, as well as make our work as accessible, scalable, and sustainable as possible by Fred Hutch staff. 

The Data Scientist II/III supports Fred Hutch’s clinical data ecosystem for translational research via clinical natural language processing (NLP) to promote the use of textual information in electronic health records (EHRs) and other real-world data (RWD) for observational studies. This position involves implementing rule-based and statistical/machine-learning NLP systems for electronic phenotyping and cohort identification, transformation of the output of NLP tools into structured fields and common data models, collaborations with translational researchers to guide development NLP systems and use of RWD, and building data stewardship and management skills across Fred Hutch.

This role will have the opportunity to work partially at our campus and remotely.

Responsibilities

• Develop, evaluate, and productionalize NLP models for mining written clinical text from oncology patient medical records, such as progress notes and pathology reports. 
• Work closely with data engineers to design and deploy robust NLP pipelines and ensure high data quality. 
• Collaborate with translational researchers and other internal customers to understand desired outcomes and identify new features for NLP systems.  
• Work with other clinical data scientists to develop templates, workflows, and packages to support use of data generated from NLP models in research. 

Qualifications

Data Scientist II

Minimum Qualifications:

• BS, BA in information technology, computer science, business analytics, statistics, data science, public health or other scientific or health related field.
• Minimum 5 years of experience in data analytics, data management, governance, security, privacy, or related disciplines.

Preferred Qualifications:

• Graduate degree in statistics, data science, informatics, computer science, or a related field
• Experience with software development best practices: version control, unit testing, continuous integration, and containers (Docker)
• A functional understanding of medical oncology, cancer epidemiology, or immunotherapy
• Experience with data governance processes for working with regulated data (HIPAA, GDPR, etc.)
• Graduate degree in statistics, data science, informatics, computer science, or a related field
• Experience with software development best practices: version control, unit testing, continuous integration, and containers (Docker)
• A functional understanding of medical oncology, cancer epidemiology, or immunotherapy
• Experience with data governance processes for working with regulated data (HIPAA, GDPR, etc.)

Data Scientist III

Minimum Qualifications:

• Master’s degree in information technology, computer science, business analytics, statistics, data science, public health or other scientific or health-related field or equivalent combination of education and experience.
• Minimum 8 years of experience in data analytics, data management, governance, security, privacy, or related disciplines.

Preferred Qualifications:

• Graduate degree in statistics, data science, informatics, computer science, or a related field
• Experience with software development best practices: version control, unit testing, continuous integration, and containers (Docker)
• A functional understanding of medical oncology, cancer epidemiology, or immunotherapy
• Experience with data governance processes for working with regulated data (HIPAA, GDPR, etc.)
• Experience leading the development of coding standards or best practices for statistical code review
• Graduate degree in statistics, data science, informatics, computer science, or a related field
• Experience with software development best practices: version control, unit testing, continuous integration, and containers (Docker)
• A functional understanding of medical oncology, cancer epidemiology, or immunotherapy
• Experience working with standardized medical ontologies such as ICD10, RxNorm, SNOMED CT 
• Experience with data governance processes for working with regulated data (HIPAA, GDPR, etc.)
• Experience in community building, group communication, and/or mentoring 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

The annual base salary range for the level II is from $99,445 to $157,144 and pay offered will be based on experience and qualifications.  

The annual base salary range for the level III is from $120,869 to $191,027 and pay offered will be based on experience and qualifications.

This position may be eligible for relocation assistance.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), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months). 

Our Commitment to Diversity

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. 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 are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and 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 [email protected] or by calling 206-667-4700.