Designs, executes, and analyzes DOE-driven formulation experiments to develop and optimize LNPs; leads lipid selection, characterization (size, PDI, encapsulation, stability), troubleshooting, and scale-up while collaborating cross-functionally and documenting results.

The Principal Scientist leads AI/ML projects, focusing on pragmatic strategies, cross-functional team coordination, and innovative solutions in computational science.

Lead ideation, research, and validation of novel venture hypotheses; design experiments, assess IP, recruit KOLs and early teams, and build initial company strategy and operations. Drive lab setup, partnerships, and business development while translating scientific insight into executable plans and transitioning pressure-tested ideas into NewCos alongside senior venture leaders.

The Senior Research Associate will design, execute, and optimize workflows for recombinant protein production and purification, contributing to next-generation protein sequencing platforms in a collaborative environment.

The Senior Scientist will develop nanopore sensing technologies, manage research projects, collaborate with cross-functional teams, and present findings at conferences.

The Director of Program Management will drive R&D and corporate initiatives, ensuring alignment with company goals, managing cross-functional projects, and fostering communication among stakeholders.

Lead ML/AI-driven computational protein and antibody design efforts, advance de novo and engineering pipelines, collaborate with experimental teams to test and iterate constructs, implement state-of-the-art modeling tools, shape computational strategy, and manage external research partnerships.

The role involves managing compound workflows, overseeing automation for sample preparation, and integrating data management systems for effective R&D operations.

The Scientist will lead in vitro pharmacology efforts, designing experiments, optimizing assays, and collaborating with teams to advance therapeutic candidates in various disease areas.

The Senior Product Manager will own the vision, strategy, and execution of the Data Platform, collaborating across teams to leverage AI/ML and data for high-impact products that enhance decision-making.

The AI Research Intern will conduct machine learning research related to biology and chemistry, collaborating with scientists and experimenting with datasets.

As a Senior Platform Engineer, you will design and maintain AWS infrastructure, develop backend services, automate deployments, and ensure platform reliability while collaborating with engineering teams.

The Senior Accountant will ensure accuracy in financial reporting, manage accounting operations, and provide strategic insights to support business decisions.

The Data Engineer will build data systems for drug discovery, managing integration of biological data and developing data pipelines on AWS.

The Machine Learning Engineer will develop and deploy ML systems, optimize models, integrate large language models, and collaborate with teams to enhance scientific applications in molecular biology.

The Scientist will design novel antigens and evaluate vaccine responses using computational methods, collaborating with teams to achieve project goals in a startup environment.

The Senior UX Designer will create user experiences for AI products, partnering with cross-functional teams to enhance workflow and product adoption.

The VP AI Data Platform leads the strategy and development of AI-native data technologies, ensuring secure data governance and user adoption across portfolio companies.

The Neuromorphic Systems Architect will design next-gen hardware architectures inspired by neuroscience, focusing on nonlinear dynamics and computational principles for intelligent systems.

The Senior Manager will oversee the Fellowship lifecycle, manage stakeholder relationships, and implement AI and productivity tools for efficiency across Flagship Labs.