Conduct experiments in immunology and inflammation, analyze data, maintain laboratory records, and support drug discovery related to autoimmune diseases.

The Senior Infrastructure Engineer will maintain and grow multi-cloud infrastructure for ML and drug discovery, focusing on automation and orchestration.

Lead and architect software solutions for drug discovery, mentoring engineers and enhancing the company's data infrastructure with machine learning expertise.

Collaborate with project teams to assess ML model performance, assist in interpreting predictions, curate datasets, and design experiments for drug discovery applications.

Lead research for generative modeling of molecular systems at Genesis AI, driving innovation and collaboration with engineers and biochemists, while mentoring junior staff and contributing to the research community.

The ML Infrastructure Engineer will lead engineering efforts in developing scalable ML platforms, enhancing training and inference pipelines while collaborating with researchers and managing cloud-based deployments.