Bioptimus

Operations

• Own the operational lifecycle of external data partnerships following contract signature. Act as the primary operational and technical point of contact for hospitals, biobanks, CROs, and research laboratories.
• Manage secure biomedical data transfers using cloud infrastructure and standardized transfer protocols. Coordinate access management, encryption, and ingestion workflows across cloud storage systems (AWS S3, SFTP, APIs, direct upload pipelines).
• Collaborate with internal technical and product teams to define and maintain harmonized data models and metadata standards across complex clinical and multi-modal datasets.
• Work closely with engineering and data teams to configure and maintain lightweight ingestion and QC pipelines. Identify operational bottlenecks and repetitive workflows and convert them into scalable systems, scripts, templates, dashboards, or automation tools that improve operational efficiency and visibility.
• Coordinate automated and manual quality control checks across incoming datasets. Identify missing data, inconsistencies, corruption, or metadata mismatches and work directly with external partners to resolve issues.
• Maintain a centralized “single source of truth” for all incoming datasets, including ingestion status, completeness, QC status, and milestone tracking.

Data Operations Lead

• Own the operational lifecycle of external data partnerships following contract signature.
• Manage secure biomedical data transfers using cloud infrastructure and standardized transfer protocols.
• Collaborate with internal technical and product teams to define and maintain harmonized data models and metadata standards.
• Work closely with engineering and data teams to configure and maintain lightweight ingestion and QC pipelines.
• Identify missing data, inconsistencies, corruption, or metadata mismatches and work directly with external partners to resolve issues.
• Maintain a centralized “single source of truth” for all incoming datasets, including ingestion status, completeness, QC status, and milestone tracking.
• Partner closely with Data Science, Engineering, Legal, and Partnership teams to align operational execution with business and scientific priorities.
• Conduct periodic visits to partner hospitals, biobanks, and laboratories to support onboarding.

QA Engineer

• Data Validation Pipeline Development
• Data Curation & Standardization
• Collaboration & Communication
• Documentation & Reporting
• Data Source Evaluation
• Continuous Improvement

Data Operations Lead

Data Operations Lead

Biology Data Quality Engineer