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Responsibilities:
- Drive core research: Work closely with the technical founder and team to develop and execute the scientific vision.
- Develop RL feedback loop: Design, implement, and improve model post-training methods that translate high-throughput biological measurements into direct reward signals.
- Bridge wet/dry lab: Partner with the experimental team to ensure lab measurements and model learning are designed as a single cohesive system.
Qualifications:
- PhD in machine learning, computational biology, or related field with 1-2 years post-PhD experience.
- Experience training models from scratch, not just fine-tuning.
- Hands-on experience with generative diffusion models and/or transformer architectures.
What We Offer:
- Compensation: Base salary of $200,000 to $300,000 during the residency.
- Upside: Potential to evolve into a co-founding technical role in a future spinout.
- Resources: Significant secured runway and dedicated GPU resources.
Astera
Astera is a private foundation on a mission to steer science and technology toward an abundant future. Projects supported by Astera operate like high-velocity startups, focusing on ambitious goals and attracting strong technical talent.