Statistical Programmer

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.

The Hutchinson Institute for Cancer Outcomes Research (HICOR) is a multi-disciplinary research institute whose mission is to reduce the human and economic burden of cancer. HICOR faculty conduct research in comparative effectiveness, cost-effectiveness, quality of care, health care delivery, health outcomes, and health policy, with an eye toward supporting public and private decision making to maximize health value under resource constraints.

HICOR is seeking a full-time Statistical Programmer I to contribute to data management and analyses for the broad variety of research projects conducted by HICOR.

This position performs all phases of programming including analyses, data cleaning, manipulation, and management, infrastructure design, coding, testing, and implementing programs for projects ranging from routine to complex. The Statistical Programmer is expected to communicate effectively with other team members and be responsive to the needs of HICOR investigators and staff as well as external agencies and collaborators as required.

Support data-related study activities:

• Extracting, cleaning, manipulating, and managing data files for analysis
• Maintain good documentation and descriptions of data cleaning process and all datasets
• Writing statistical programs using SAS per requests from HICOR investigators and staff as well as external agencies and collaborators
• Develop systems, methods, and algorithms for processing, analyzing, and visualizing data
• Assist with the development of abstracts, manuscripts, and presentations

Communicate clearly with scientific and other staff:

• Maintain ongoing contact with project team to ensure timely delivery of data for a variety of projects and analyses
• Serve as a reference resource to internal and external collaborators with data questions

Maintain high data quality and security standard:

• Participate in meetings regarding data quality assurance and analysis.
• Monitor adherence to data collection and storage protocols
• Help develop and follow standard procedures and conventions for data management, information security, regulatory compliance, and programming
• Perform routine audits to ensure quality of the data and integrity of databases
• Participate in reviews of code, security, and standard operating procedures

• Bachelor’s degree with at least one year of professional experience in Computer Science, Electrical and Computer Engineering, Data Science, Informatics, Mathematics, Statistics, Epidemiology, Public Health or a related field OR Master’s degree in these fields.
• At least one project experience (or full-time academic/professional experience) in Python or R
• Proficiency with basic Linux system operations
• Experience in processing large-scale datasets OR proven ability to rapidly learn new tools and concepts