Associate Director, Computational Biology (Biomedical Data)

Location: Remote or hybrid within the United States; travel twice per year for on-site events in Seattle, WA.

Annual salary: $140,000–$180,000.

Company

hirify.global is a Seattle-founded nonprofit advancing biomedical research through open science, responsible data sharing, governance, and collaborative technology.

What you will do

• Lead a multidisciplinary team of biomedical data managers, data engineers, community engagement staff, and program managers.
• Direct the curation, annotation, lifecycle management, harmonization, and quality improvement of large-scale biomedical and multi-omic datasets.
• Develop data governance, access-control, privacy, compliance, and responsible data-sharing practices.
• Advance FAIR principles, GA4GH standards, data-use ontologies, federated access, and genomic data-sharing frameworks.
• Build researcher communities, coordinate external scientists and consortium partners, and represent Sage with funders and stakeholders.
• Lead funding strategies and grant proposals while contributing hands-on computational biology, statistical, and bioinformatic work.

Requirements

• Must be located in the United States for the remote or hybrid arrangement.
• Master’s or PhD in biology, bioinformatics, data science, library/information science, or a related discipline, or equivalent experience.
• 8+ years of progressive experience in scientific research, biomedical data management, data governance, research data curation, or a related field.
• 3+ years of directly managing, mentoring, or developing data managers, computational biologists, bioinformaticians, or community engagement professionals.
• Experience with open science, FAIR data principles, responsible human-subjects data sharing, GA4GH or comparable frameworks, and multi-institutional collaborations.
• Track record of securing research funding, including at least one competitive NIH or comparable award.

Nice to have

• Experience with OMOP, FHIR, GA4GH Phenopackets, Data Use Ontology, Synapse, dbGaP, or EGA.
• Experience with imaging and spatial biology data, including spatial transcriptomics, multiplexed tissue imaging, or digital pathology.
• Experience with AI-assisted or agentic workflows for data curation, validation, or community support.
• Experience with NIH-funded research consortia, public-private partnerships, or public-facing scientific community engagement.

Culture & Benefits

• Open-science, mission-driven environment focused on improving human health.
• Distributed workforce with remote and hybrid flexibility within the United States.
• Medical, dental, vision, life, AD&D, and long-term disability coverage.
• Retirement plan, flexible spending accounts, paid time off, and flexible work arrangements.
• Virtual-first interview process and commitment to inclusive, accountable, and collaborative work.

Hiring process

• All interviews are conducted virtually.
• A cover letter is required and should not be replaced with a resume upload.