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

As a Senior CADD Scientist at Genesis Therapeutics, you'll utilize AI-powered CADD tools for drug discovery, collaborating with chemists and supporting decision-making in drug development.

As a Principal CADD Scientist, you will guide drug discovery using CADD tools, collaborate with chemists, and support decision-making in a fast-paced team environment.

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.

The Assistant Controller will manage accounting functions, oversee financial processes, and collaborate with departments to drive efficiency and strategic growth.

The Total Rewards Lead will develop and execute a total compensation strategy, design competitive compensation programs, utilize data analytics for informed decisions, and provide consultation to senior leaders. The role involves ensuring compliance with regulations, collaborating with various teams, and communicating compensation details effectively to employees.

The Head of AI will lead the ML Research group, develop innovative models for drug discovery, and collaborate with cross-disciplinary teams.

The Head of Platform Engineering leads the platform team to develop scalable infrastructure for ML and computational chemistry, fostering collaboration and technical excellence.

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