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 the Fred Hutchinson Cancer Center, Jeff Leek, established the Fred Hutch 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. This should serve 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 as scalably and sustainably as possible by Fred Hutch staff.

The Data Scientist III Temporary supports building the new DaSL community-oriented support programs for effective computing and reproducible workflow creation, specifically the new DaSL Community Studios program. The position involves collaboration with the Fred Hutch Scientific Computing group and DaSL staff to support documentation and best practices for Fred Hutch infrastructure and data-oriented applications for the research community.

Most Fred Hutch jobs require some on-campus work. However, there may be flexibility for certain positions. Please check with the recruiter if you are an out-of-state applicant interested only in working outside of the Seattle area.

Responsibilities

• Develop a documented plan for one to seasons of DaSL Community Studios including logistical support requirements, timing, metrics, and analytics.
• Work directly with domain experts in DaSL to guide initial content for Community Studios and documentation of best practices that will be socialized at DaSL’s Community Studios.
• Participate in DaSL’s Data House Calls advising program as an additional Research Computing and Research Software subject matter expert in an ad hoc capability.
• Develops and shares reproducible bioinformatic workflows using WDL, including creating and managing the associated docker containers.
• Provides guidance and support for Fred Hutch infrastructure projects that involve on-prem and cloud computing, research software and computing environment management, including containerized, reproducible scientific analysis workflows.
• Other duties as assigned.

Qualifications

MINIMUM QUALIFICATIONS:

• Master’s or PhD degree in Bioinformatics, Statistics, Biostatistics, Mathematics, Computer Science, Physics, or related field, or equivalent combination of education and experience.
• Minimum 8 years of related experience.

PREFERRED QUALIFICATIONS:

• Proficiency in Python and/or R programming
• Core competency in at least one of the following: genomics, natural language, image processing, medical records or claims.
• Ability to prioritize written documentation and communication with attention to multiple audiences and creating broad understanding across groups.
• Excellent interpersonal and communication skills with audiences with a wide range of data expertise.
• Ability to be flexible and adapt to change, to work independently, part of a multi-disciplinary group with DaSL staff as well as external partners.
• Experience in genomic or other large data management, curation, annotation and sharing.

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 this position is from $120,869 to $191,027, and pay offered will be based on experience and qualifications.
Fred Hutchinson Cancer Center offers employees access to a retirement savings plan, an employee assistance program, paid sick leave (1 hour for every 30 hours worked), and prorated paid holidays (up to 11 days per year).