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Director of Training & Community
Company Information
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 is 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.
This position will work with colleagues within the Data Science Lab and across the institution to develop a training program to meet the data science needs of Fred Hutch researchers. This includes working with a diverse population of scientists and administrators to build a community of data science learners at all levels, as well as creating, adapting, and delivering training materials and resources to meet the diverse data-related training needs of the Fred Hutch community and the diverse ways in which people prefer to learn. As such, the Director of Training and Community has a background in health and biomedical data science and must be enthusiastic about collaborating with others, creating a system for developing and delivering open-source training, and furthering the success of the Fred Hutch community.
This role will have the opportunity to work partially at our campus and remotely.
This position is eligible for a sign on bonus and relocation.
- Work with the Chief Data Officer, Deputy Chief Data Officer, other DaSL leadership, and training staff to create a comprehensive data science training program for the Fred Hutchinson Cancer Center, based on needs assessment and input from on-going data science house calls.
- Collaborate with Fred Hutch researchers to identify further training needs and translate into expanding the training program, including performing surveys of needs of the Hutch community.
- Prioritize training development and delivery plans to meet the Fred Hutch community needs.
- Develop a strategy for delivering this training program in a modern, flexible format to meet the needs of providers, researchers, administrators, and the Fred Hutch community broadly.
- Strategize training delivery across different modalities (courses, workshops, videos, etc.) and platforms (website, coursera, etc.) to enhance audience reach.
- Develop a model structure for courses by leveraging open source technologies and adopting an approach to open, collaborative course development.
- Coordinate efforts with the Fred Hutch Office of Education and Training (OET) and other training groups at Fred Hutch.
- Host/lead online and in-person courses, presentations, and sessions about change management to support the evolving data culture at Fred Hutch.
- Supervise and mentor Fred Hutch funded training staff.
- Collaborate with the grant-funded staff to create a cohesive experience across all training efforts regardless of funding source.
- Supervise training curricula and implementation in Fred Hutch training-related efforts.
- Strategize in close collaboration with PIs of grant-funded projects to reuse/adaption of materials to maximize use of data science education materials.
- Contribute to building community by interacting with various groups at Fred Hutch.
- Recruit training team members and larger Fred Hutch community members to contribute to and review sections of the FH Biomedical Data Science Wiki. Manage review of these contributions.
- Work with other DaSL domain experts to lead DaSL Community Studios program (coworking groups on particular topics).
- Evaluate how well the training program is meeting Fred Hutch community needs through analytics and evaluations.
MINIMUM QUALIFICATIONS:
- MD, PhD (or equivalent), or Masters in Bioinformatics, Statistics, Biostatistics, Mathematics, Computer Science, Data Science, or related field required.
- Years of experience: 4 years of experience in combination of data science and/or training, at least one year in each.
PREFERRED QUALIFICATIONS:
- Strong experience with public speaking, including both online and in-person presence.
- Developed and taught courses in data science, biostatistics, data analysis, artificial intelligence, or related fields.
- Core competency in at least one of the following: genomics, natural language processing, image processing, clinical data analysis, machine learning/artificial intelligence, computational biology, biostatistics.
- Proficiency in R and or Python (or equivalent) and version control with Git/GitHub (or equivalent)
- Experience with managing a group of people and prioritizing tasks.
- Passion for democratizing data science and computational biology skills.
- Developed or assisted in developing and leading a data program that included training/education components in either an academic, professional development, or technical environment.
- Experience with DEI, classroom safety, working with diverse populations in an educational setting.
- Experience with community building techniques.
- Experience or interest in pedagogical research.
- Experience with HTML, CSS, high performance computing, Cloud platforms, containers, SQL, markup languages.