Scientist - Computational Biophysics
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.
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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build protein representations that combine language-model embeddings with structural data for functional prediction. You will develop large-scale bioinformatics pipelines, fine-tune machine-learning models, integrate biological data sources, validate models with experimental partners, and help establish standards and tools for dynamic structural biology.
Requirements
- PhD in bioinformatics, computational biology, machine learning, or a related field
- Understanding of protein structure and function
- Experience building large bioinformatics pipelines and managing high-dimensional datasets
- Proficiency fine-tuning or modifying machine-learning models
- Familiarity with protein language models such as ESM and AlphaFold is preferred
- Ability to drive research questions from conception through execution
Responsibilities
- Build ensemble-aware protein representations for functional prediction
- Develop and maintain large-scale bioinformatics pipelines
- Fine-tune or architect machine-learning models for sequence-structure-function relationships
- Integrate evolutionary, binding-affinity, allostery, and functional-annotation data
- Collaborate with experimental partners to refine models against experimental measurements
- Contribute standards and tools for dynamic structural biology