Teams at Bioptimus

Build and scale the research data platform powering biological AI workloads. Responsibilities include designing schemas and storage systems, optimizing distributed storage and database performance, developing typed APIs, improving pipelines and cloud efficiency, and implementing data validation, versioning, testing, and access controls. The role collaborates with researchers and product engineers to deliver maintainable, user-friendly infrastructure for scientists, engineers, and AI agents.

Supports the COO and executive leadership through complex calendar, priority, travel, and request coordination. Organizes offsites, board meetings, team gatherings, merchandise, and culture initiatives. Owns administrative workstreams across HR, legal, and operations, maintains Notion workflows, and supports internal tools and basic IT processes. Leads onboarding logistics, equipment and desk setup, office access, supplies, and daily workplace needs while serving as a highly responsive employee-facing contact.

Lead clinical data harmonization for the STELA program: map partner clinical sources to ontologies, design data dictionaries and QC pipelines, write reproducible Python code to clean and validate multimodal clinical datasets, and collaborate with external hospitals/CROs to standardize data for AI model training, with emphasis on oncology and immunology.