Middle Data Governance Specialist

Our client is a platform-driven, clinical-stage biotechnology company that is mapping human longevity to change the nature of aging and extend healthy lifespan. Our growing portfolio of therapeutics for immune, muscle, and brain aging includes four drug programs, two first-in-class and two first-in-indication. Our vision is “growing older without aging” - a future in which aging allows us to pursue our goals, accumulate new experiences and accomplishments, and actively contribute to society without disease, physical disability, or loss of independence and connection. A leading company in the emerging longevity biotech sector, client has raised $127M from Andreessen Horowitz, Kaiser Foundation Hospitals, and others.

Our client is seeking a Data Governance Specialist to ensure data integrity, compliance, and optimal use across our organization. This role involves defining governance frameworks, overseeing data quality, and supporting testing of data pipelines.

We are looking for 2 specialists: Data Governance Specialist and Data Python Engineer.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Develop and enforce data governance frameworks, policies, and standards. to ensure
  biological data accuracy and consistency
• Ensure data quality through manual testing, automated pipeline tests, and performance
  metrics.
• Creating detailed use cases for testing biological datasets, including edge cases for
  scientific accuracy.
• Extracting structured tables from scientific literature, writing test functions to catch format
  inconsistencies.
• Verify that platform updates perform as expected and test data integrity by helping
  cross-reference the platform’s database entries with original raw data sources.
• Collaborate with teams to define data ownership, stewardship, and regulatory
  compliance.
• Promote governance best practices and continuous improvement including documenting
  the data governance process.

• Background in Biology, Bioinformatics, or a related field is highly valued. Relevant
  domain expertise and experience may substitute formal education.
• Expertise in data governance principles, quality assurance, and testing processes.,
  especially in biological or scientific data contexts.
• Familiarity with automated testing frameworks and knowledge of data engineering tools.
• Proficiency with biological data, and programming languages such as R or Python.
• Strong communication skills in English, both written and verbal, and stakeholder
  management skills.