Open Science Data Steward

Astera is a private foundation on a mission to steer science and technology toward an abundant future for all. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress. We are searching for visionary leaders who are compelled by the challenge of driving transformative change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming here.

We are seeking a detail-oriented and proactive Open Science Data Steward to oversee the full lifecycle of research data across our science programs. In this in-person role, you will partner with researchers, maintain high data quality standards, develop scalable data infrastructure, and champion open science and FAIR data principles. The ideal candidate brings expertise in data management, a collaborative spirit, and a commitment to responsible, innovative data sharing.

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  Partner with researchers across Astera's Science to understand the context and characteristics of their data, ensuring it is prepared and published to meet the highest standards of quality and reusability for both human researchers and AI systems.
  

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  Serve as the organization’s data steward, overseeing the complete lifecycle of research data from creation through publication and archival, ensuring data integrity and accessibility throughout.
  

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  Create and maintain comprehensive living documentation for data repository interactions, establish best practices for data release timing and methods, metadata tools and standards, and ensure compliance with open science principles and FAIR (Findable, Accessible, Interoperable, Reusable) data standards.
  

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  Proactively identify patterns and emerging challenges in data management across research teams, collaborating with leadership to develop scalable solutions and infrastructure improvements that benefit the entire organization.
  

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  Support the integration of research data with open science knowledge graphs and ensure compatibility with emerging AI and machine learning ecosystems that rely on high-quality scientific data.
  

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  Provide training and guidance to new researchers and residents on data management best practices, fostering a culture of early and effective data sharing that maximizes scientific impact.
  

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  Collaborate across the organization, especially with software engineers, to identify and address technical gaps in data infrastructure, ensuring researchers have the tools and support needed to manage their data effectively.

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  Work directly with researchers and residents to ensure data policies are followed, being present on-site to navigate both routine compliance and the inevitable edge cases that require creative problem-solving, while knowing when to loop in leadership for guidance on particularly complex or sensitive data situations.

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  Navigate the balance between Astera's commitment to radically open science and the practical realities of responsible data sharing, developing thoughtful approaches for situations where research sensitivity, privacy requirements, safety considerations, or dual-use risks demand more nuanced data release strategies, and knowing when to escalate particularly challenging cases to leadership while maintaining the organization's open science mission.

• Bachelor’s degree in Computer Science, Information Science, Library Science, Data Science, or related field; advanced degree preferred.
  

• 3-5+ years of experience managing data in research organizations, academic institutions, or similar environments with complex data governance requirements.
  

• Deep understanding of data quality principles, data governance frameworks, and metadata standards, with demonstrated ability to implement these concepts in practice.
  

• Familiarity with scientific data formats, repositories, and standards.
  

• Excellent communication and interpersonal skills with the ability to translate between technical data requirements and researcher needs.
  

• Strong organizational skills with meticulous attention to detail and the ability to manage multiple data projects simultaneously while maintaining high standards.
  

• High agency self-starter with the ability to work independently, identify opportunities for process improvement, and drive initiatives forward without constant oversight.

• Experience with life sciences data (genomics, imaging, crystallography, or related fields) and understanding of domain-specific data challenges.
  

• Familiarity with the AI/ML data landscape and understanding of how to structure data for machine learning applications.
  

• Knowledge of open science initiatives and experience with open data publishing platforms.
  

• Experience with data integration, knowledge graphs, or semantic web technologies.
  

• Track record of developing data management policies, procedures, or training materials.

This role is in-person at our office in Emeryville, CA.