Cloud Data System Administrator

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), which aims to develop and support the overall data strategy for the organization. The mission of the DaSL 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 Cloud Data System Administrator will support the development of a new translational data infrastructure, integrations, and user-facing applications. This team is responsible for the implementation of scalable, stable, and secure solutions in our centrally managed, cloud-based translational data infrastructure. Responsible for managing and securing cloud-based services and applications and will work closely with IT teams to ensure that cloud resources are provisioned, managed, and maintained in an efficient and secure manner. Will manage cloud-based infrastructure, including virtual machines, storage solutions, and networking components. Primarily responsible for ensuring seamless access to data and application resources for users through role-based permissions and maintaining compliance with data security and regulatory requirements. Collaborate with data engineers, data scientists, and data governance specialists to ensure our data systems are accessible, robust, and compliant.

At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.

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.

Administer and manage cloud-based data systems (e.g., AWS infrastructure, Databricks, GitHub), ensuring high availability, reliability, and performance. Implement security best practices, including identity and access management in collaboration with the IT department.
• Develop and maintain automation scripts for managing cloud data infrastructure, user provisioning, and system updates. Utilize tools like Terraform, CloudFormation, or Ansible for infrastructure as code.
• Monitor the health and performance of cloud data systems and respond to incidents. Troubleshoot system and access issues to resolve problems quickly and maintain uptime.
• Develop and maintain role-based access controls and regularly review and update permissions to reflect changes in roles and organizational requirements.
• Collaborate with data governance specialists to ensure access controls and data management policies are compliant with relevant regulations (e.g., GDPR, CCPA, HIPAA). Conduct audits and compliance checks to monitor adherence to standards.
• Work closely with data engineers, data scientists, and other stakeholders to support their access and security needs. Provide guidance on best practices for secure data usage and system configuration.
• Implement and maintain backup strategies and disaster recovery plans for components of our translational data infrastructure in collaboration with IT staff.
• Provide technical support for end-user application development.

MINIMUM QUALIFICATIONS:

• BA/BS in Computer Science, Engineering, or related field, or equivalent combination of education and experience
• Minimum 4 years of experience in data or software engineering, technical system administration or other IT role.

PREFERRED QUALIFICATIONS:

• Must have excellent communication and collaboration skills to work effectively with data scientists and analysts, other members of the engineering team, and members of the IT department.
• Experience with cloud data platforms (AWS preferred), including services like IAM, storage, and database services.
• Familiarity with data management tools and practices (e.g., Databricks).
• Proficiency in role-based access management, security policies, and identity management solutions.
• Experience with infrastructure as code tools (e.g., Terraform, CloudFormation) and automation scripting (e.g., Python, PowerShell, Bash).
• Understanding of networking concepts, data encryption, and data protection techniques.
• Strong problem-solving skills with the ability to quickly diagnose and resolve issues.
• Works with common programming languages, eg. Python
• Ability to work independently and to adapt to new and changing technologies
• Strong analytical and organizational skills and an ability to multi-task
• Experience working in highly regulated data environments, ideally with prior healthcare or research experience, including familiarity with HIPAA regulations.
• Experience with collaboration tools (Teams, Slack, Jira, Confluence).

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 $112,924 to $178,464, and pay offered will be based on experience and qualifications.

This position may be eligible for relocation assistance.

This position may be eligible for a sign-on bonus.

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).