Jobs at Bioptimus

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.

Lead clinical data structuring and harmonization for multimodal biomedical datasets: map ontologies, design data dictionaries/metadata, enforce ingest QC, write reproducible Python pipelines, and collaborate with global partners to translate messy clinical sources into AI-ready assets with oncology/immunology domain focus.

Provide clinical and translational expertise to prioritize clinical questions, interpret model outputs, advise on data and academic partnerships, and support pharma engagement for onco-immunology digital-twin and data-generation programs.

Own and scale biomedical data partnership operations: coordinate onboarding and secure cloud transfers, harmonize clinical and multi-omics data, run ingestion/QC pipelines, automate workflows, maintain tracking dashboards, liaise with partners and cross-functional teams, and perform periodic site visits to resolve technical and operational issues.

Own day-to-day People operations for a hybrid AI-biology startup: contracting, payroll coordination, employee records, and being the primary HR contact. Design and run core people programs (onboarding, performance reviews, compensation, policies, surveys). Coach managers, handle underperformance, lead exits/terminations, and develop emerging leaders. Part-time (~3 days/week) with scope to grow into a broader leadership role as the company scales.

Own and scale operational lifecycle of biomedical data partnerships: coordinate onboarding and secure cloud transfers, harmonize clinical and multi-omics data, manage ingestion/QC pipelines, build tracking dashboards, resolve data quality issues, and liaise with external partners and internal teams to ensure timely, compliant dataset delivery.

Own and scale operational lifecycle of biomedical data partnerships: manage secure cloud data transfers, harmonize multi-omics and clinical metadata, maintain ingestion/QC pipelines, build tracking dashboards, coordinate partners and cross-functional teams, and conduct periodic site visits to ensure data integrity and governance.

Support clinical and translational strategy for digital twin and data-generation programs in onco-immunology. Advise on clinical prioritization, interpret model outputs, guide academic and pharma partnerships, and help design clinically relevant endpoints, biomarkers, and cohorts to maximize foundation-model utility in oncology research.

Own day-to-day People operations for a biotech/AI startup: contracting, payroll coordination, records, onboarding, performance reviews, compensation strategy, policies, and employee relations. Act as trusted HR partner, manage difficult conversations, terminations, and coach managers. Part-time, hybrid role with scope to grow.

Design, build, and own the AWS foundation and Terraform IaC; develop self-service developer-platform tooling; manage CI/CD and deployment fabric; embed security and networking into platform defaults; implement observability and cost controls; and support research teams to scale while enabling self-service workflows.

Lead design and ownership of the AWS cloud foundation and Terraform IaC, build self-service developer platform and CI/CD pipelines, embed security and networking in infrastructure, enable research scale, set platform standards, observability, and cost controls.