Jobs at Lila Sciences

As a Robotics Scientist, you will lead R&D for autonomous robotic systems, develop algorithms, and collaborate with teams to achieve fully autonomous workflows for scientific discovery.

The Software Engineer will develop a discrete event simulation platform for lab workflows, enhance scheduling, and ensure reproducibility. Responsibilities include architecting the platform, building APIs, and collaborating with Robotics and Scheduling teams.

The HR Manager will partner with managers on talent management and employee relations, while driving HR programs and providing guidance on team effectiveness.

The Life Sciences Technical Program Manager will oversee program execution, maintain project plans, coordinate with teams, and ensure communication across stakeholders to resolve issues efficiently.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As a Product Lead for Software/Applied AI, you will own specific product areas, guiding full-stack product execution and cross-functional collaboration to build impactful scientific tools.

The Director/Senior Director leads new product planning and asset strategy for Lila Sciences, evaluating life sciences opportunities and shaping partnerships based on scientific and market insights.

The AI Lab Research Engineer will develop scientific AI models for complex problems, design and deploy AI agents, and collaborate across disciplines in a lab environment.

As a Senior Software Engineer, you will design APIs, manage database architecture, optimize performance, and collaborate with cross-functional teams to support the Data Platform Team's backend solutions.

As a Scientist II/Senior Scientist, drive the development and implementation of characterization workflows for magnetic and superconducting materials, collaborating on high-throughput experiments integrating AI and robotics.

The role involves designing, building, and optimizing backend systems and data infrastructure for orchestration algorithms and lab execution. Collaboration with robotics scientists and platform engineers is key to developing performant systems for AI-driven scientific platforms.

Design and implement high-performance UI and APIs, manage database architecture, develop applications, and ensure system scalability and optimization while collaborating with scientists and engineers.

As Commercial Counsel, you will draft and negotiate contracts, provide legal counsel on AI and science, and build scalable legal systems.

The Director of Product will lead product strategy, manage product execution and drive innovation in drug discovery and scientific tools, ensuring alignment between customer needs and the scientific team's goals.

As a Senior Research Associate/Scientist, you will develop automated experimental platforms for solid state materials, integrating hardware and software while collaborating across teams to accelerate scientific discovery.

Collaborate with teams to design and build UI and APIs, manage database architecture, and optimize performance for lab integration and scientific workflows.

The Staff DevOps Engineer will design and implement infrastructure for cloud and Kubernetes environments, ensuring reliable software delivery and collaborating across teams.

Lead the development of autonomous robotic systems, pioneering dexterous manipulation and human-robot interaction using machine learning algorithms and frameworks.

Lead end-to-end delivery for complex, technical multi-year customer partnerships in physical sciences. Own customer relationship, coordinate cross-functional teams, drive program timelines, risks, resourcing, and build scalable delivery processes, tooling, and KPIs for a new customer delivery function.

Own full-cycle recruiting for commercial, corporate development, and G&A roles with focus on go-to-market. Partner with senior leaders to define roles, source and screen candidates, run processes, negotiate and close offers, advise on compensation and market dynamics, and improve sourcing pipelines and candidate experience using metrics.