Norvara Therapeutics
Computational Biologist & Co Founder
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Location: Remote
Area: Computational Biology / Structural Virology
Job Type: VOLUNTARY / (Pre-Seed, Pre-Startup), in accordance with the terms of our Contributor Agreement.
Official Website: www.norvaratx.com
Role Description
This is a remote, volunteer, co-founder role for a Computational Biologist. The role involves designing and optimizing next-generation Adeno-associated virus (AAV) capsid variants to overcome critical barriers in gene therapy. Responsibilities include analyzing vast evolutionary datasets, modeling precise structural folds, and collaborating with our team to bypass traditional laboratory constraints. Volunteers will gain hands-on experience at the cutting edge of structural biology and machine learning within an intensely academic, meritocratic environment.
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Key Responsibilities
- Structural Engineering: Use advanced computational architectures to predict and design specific structural folds for optimized capsid variants.
- Academic Translation & Model Generation: Analyze high-level structural biology research to identify predictive structural signals from vast, noisy evolutionary datasets.
- Performance Optimization: Continuously evaluate engineered capsids to optimize features like tissue specificity, immune evasion, and manufacturability.
- Deep Learning Integration: Develop, test, and refine machine learning models to transition drug delivery R&D from physical screening to rapid in silico design.
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Qualifications
- BSc, MSc or Ph.D in Computational Biology, Biophysics, or a related STEM field.
- Extensive, mandatory experience with protein language models, PyTorch, and Python.
- Strong foundation in Mathematics, Statistics, and Structural Biology/Virology.
- Strong problem-solving abilities and an aptitude for data-driven biological decision-making.
- Enthusiasm for bridging the gap between deep learning and translational medicine.
About
Norvara is an early-stage biotechnology company focused on research and development in gene delivery. We combine computational biology and structural virology to design next-generation AAV capsids with unprecedented tissue specificity, manufacturability, and thermostability.
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