As a Contract Talent Coordinator, you will enhance the candidate experience by managing interview scheduling, onboarding, and communication with hiring partners in a fast-paced environment.
The New Product Planning Manager will drive the strategy and execution of commercial assessments for AI-enabled pipeline programs, focusing on market analysis and cross-functional collaboration.
As an Applied ML Scientist, you will bridge research and drug discovery, applying AI to enhance model validation and deployment for new medicines.
The Staff Technical Recruiter will lead full-cycle hiring for AI/ML roles, focusing on sourcing top talent, building university partnerships, and enhancing candidate experiences.
As a Fullstack Software Engineer, you will own and evolve the platform used by computational chemists, build tools for molecular visualization, and scale data infrastructure for drug discovery.
This role is deliberately split between building the platform and using it. Roughly 50% of your time will be spent designing and improving our in-house orchestration framework: its DAG abstractions, execution engine, scheduling, caching,.
In this builder-integrator role, you will define and execute the product roadmap, enhancing collaboration across AI, engineering, and biology to revolutionize drug discovery.
As an ML Research Engineer, you will drive the development and scaling of foundation models for molecular science, collaborating closely with researchers and scientists to translate innovative ideas into practical applications.
As a key member of the Genesis AI team, you will lead transformative research initiatives in generative AI for drug discovery, shaping the future of foundation models.
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