Data Operations Lead

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take ownership of the operational lifecycle for external data partnerships once contracts are signed.

• Oversee secure transfers of biomedical data utilizing cloud infrastructure and standardized transfer protocols.

• Work in collaboration with internal technical and product teams to establish and uphold consistent data models and metadata standards across intricate clinical and multi-modal datasets.

• Partner closely with engineering and data teams to set up and sustain efficient data ingestion and quality control pipelines.

• Organize both automated and manual quality control examinations for incoming datasets.

• Ensure a centralized “single source of truth” for all incoming datasets, tracking ingestion status, completeness, quality control status, and milestones.

• Collaborate closely with Data Science, Engineering, Legal, and Partnership teams to ensure that operational execution aligns with both business and scientific goals.

• Make regular visits to partner hospitals, biobanks, and laboratories to assist with onboarding, resolve technical or operational challenges, and enhance long-term partnerships.

⛳️ Requirements

• In-depth knowledge of clinical and biomedical data structures, including real-world data, clinical trial datasets, and multi-omics data types.

• Demonstrated experience in managing data lifecycles within cloud environments, specifically AWS (S3, CLI, access management).

• Proficient in Python or R, as well as SQL for querying and transforming datasets.

• Proven ability to manage several external collaborations and operational workflows simultaneously.

• Comfortable working autonomously in uncertain environments.

• Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, or a related quantitative field.

🏝️ Benefits

• A collaborative and mission-focused work atmosphere.

• Competitive salary along with an equity package.

• Flexible work arrangements, including options for remote work.

• Opportunities for professional development and leadership growth.

• The chance to influence the future of biology and AI through innovative work.