Scientist - Ensemble Structural Informatics

A 501(c)(3) science-and-technology research institute/foundation operating direct Neuro-AI research, life-sciences programs through Radial, and an open-science residency program.

Emeryville, CA, United States
About Astera Institute

Astera Institute supports and operates open public-goods work for science and technology. Its current activities include neuroscience-informed AGI research, AI-enabled life-sciences programs, open datasets and publishing infrastructure, and residencies for early-stage projects.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop ensemble-aware validation standards and foundational infrastructure for dynamic structural biology data. You will define validation metrics and forward models across crystallography, cryo-EM, and related techniques; guide data deposition, search, and retrieval tools; and translate scientific requirements into robust technical solutions with technical stakeholders.

Requirements

  • Ph.D. in structural biology, biophysics, computational biology, or a related field
  • Demonstrated expertise in structural biology methods
  • Deep understanding of structural heterogeneity and dynamics in biomolecular systems
  • Experience with data standards, metadata frameworks, or scientific database development
  • Collaborative skills and ability to build consensus across diverse scientific communities

Responsibilities

  • Oversee development of ensemble-aware validation frameworks assessing fit-to-data, physical realism, and uncertainty across structural representations
  • Identify and prioritize technical challenges in data representation and validation frameworks
  • Guide creation of data deposition, search, and retrieval tools for structural heterogeneity
  • Coordinate with stakeholders to ensure interoperability and adoption
  • Translate scientific requirements into robust technical solutions with software developers, data engineers, and user experience designers