Associate Director, Computational Biology

3 hours, 4 minutes ago
Full-time
Lead
Data Science and Analytics
Sage Bionetworks

Sage Bionetworks

Sage Bionetworks is a nonprofit organization that facilitates data sharing and reuse to accelerate biomedical discoveries and enhance the translation of scientific research into medical applications, primarily through its Synapse Python Client, which a...

Biotechnology
51-250
Founded 2009

Description

  • Lead applied statistical, bioinformatic, and computational biology work across large-scale, multi-omic, spatial, and imaging datasets.
  • Oversee biomedical data curation, annotation, organization, lifecycle management, quality, and harmonization in alignment with FAIR principles.
  • Develop data governance, access-control, privacy, compliance, and responsible data-sharing practices with internal governance teams.
  • Champion GA4GH standards, data-use ontologies, federated access, and genomic data-sharing frameworks.
  • Build and manage a multidisciplinary team of data managers, engineers, community engagement staff, and program managers.
  • Develop researcher communities through outreach, meetings, documentation, training, and direct engagement.
  • Coordinate external scientists, consortium partners, funders, and research programs using Sage data resources.
  • Lead grant proposals, funding strategies, funder relationships, and post-award activities.
  • Establish team development practices, career paths, mentorship, and continuous improvements to data operations.
  • Represent Sage in Data Coordination Center and consortium initiatives while contributing to platform priorities and hands-on scientific work.

Requirements

  • Master’s or PhD in biology, bioinformatics, data science, information science, or a related discipline, or equivalent experience.
  • 8+ years of progressive experience in biomedical research, data management, governance, curation, or a related field.
  • 3+ years managing, mentoring, or developing data managers, computational biologists, bioinformaticians, or community professionals.
  • Experience leading complex, multi-stakeholder initiatives and working in multi-institutional collaborations or consortia.
  • Track record of securing research funding, including at least one competitive NIH or comparable award.
  • Experience with open science, FAIR principles, responsible human-subjects data sharing, and GA4GH or comparable standards.
  • Experience building communities around shared data resources and coordinating external scientists or consortium partners.
  • Strong strategic judgment, communication, analytical, problem-solving, and cross-functional influence skills.
  • Preferred experience with OMOP, FHIR, GA4GH Phenopackets, Data Use Ontology, Synapse, dbGaP, EGA, or controlled-access governance.
  • Preferred experience with imaging or spatial biology data, AI-assisted curation workflows, NIH policies, large-scale consortia, and public-facing engagement programs.
  • Ability to travel twice annually to on-site events in Seattle, Washington.
  • Required cover letter must be submitted separately from the resume.

Benefits

  • Annual salary range of $140,000–$180,000.
  • Comprehensive medical, dental, vision, life, AD&D, and long-term disability coverage.
  • Retirement plan and flexible spending accounts.
  • Paid time off and flexible work arrangements.
  • Remote or hybrid work within the United States.
  • Virtual-first interview process.

Interested in this position?

Apply directly on the company website

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