Applied AI Bio Scientist
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Summary
Applies and adapts AI models to design biologics with improved format, precision, and function, partnering with wet-lab scientists and engineers to advance molecules and improve discovery models and infrastructure. Core tooling includes Python, PyTorch, and HPC/Kubernetes/SLURM environments.
You will apply and adapt AI models to design biologics with improved format, precision, and function. You will work with scientists and engineers to advance molecules toward target product profiles, improve discovery models and infrastructure, and use modern AI development tooling.
Responsibilities
- Apply and adapt AI models to design biologics
- Partner with scientists and engineers to advance molecules toward target product profiles
- Collaborate with research and engineering teams to improve models and infrastructure
- Leverage modern AI development tooling
Requirements
- 4+ years of experience developing or applying AI in biology, chemistry, or physics
- Experience collaborating with wet-lab teams or conducting biological experiments
- Fluency in Python
- Familiarity with HPC environments, Kubernetes, and SLURM
- Experience with PyTorch
- Track record of shipping quickly with quality