Bioptimus logo
Bioptimus

We build foundation models that will transform biology.

Data Operations Lead

OperationsOperationsFull TimeRemoteSeniorTeam 11-50Since 2024H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

4 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishAWSCloudPythonSQL

Job Description

Data Operations Lead

Bioptimus

• 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 across complex clinical and multi-modal datasets. • Work closely with engineering and data teams to configure and maintain lightweight ingestion and QC pipelines. • Coordinate automated and manual quality control checks across incoming datasets. • 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, troubleshoot technical or operational bottlenecks, and strengthen long-term collaborations.

Job Requirements

  • Strong understanding of clinical and biomedical data structures, including real-world data, clinical trial datasets, and multi-omics data modalities.
  • Proven experience managing data lifecycles in cloud environments, particularly AWS (S3, CLI, access management).
  • Proficiency in Python or R, along with SQL for querying and transforming datasets.
  • Demonstrated ability to manage multiple external collaborations and operational workstreams simultaneously.
  • Comfortable working independently in ambiguous 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-driven work environment.
  • Competitive salary and equity package.
  • Flexible work arrangements, including remote options.
  • Opportunities for professional growth and leadership development.
  • The opportunity to shape the future of biology and AI through groundbreaking work.

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