Staff Data Engineer - (Durham NC or Menlo Park, CA) - #4571

Responsibilities

• Collaborate with data scientists, biostatisticians, and clinical teams to deliver data solutions and sample selections that support clinical trial and research analysis goals
• Translate complex scientific and analytical requirements into robust, reusable data solutions
• Contribute to data quality frameworks, including standards for validation, reconciliation, and observability across datasets
• Drive self-service data platform strategy, implementation, and tooling, adoption through training and documentation
• Lead efforts to standardize and improve dataset generation, QC, and reporting workflows
• Evaluate and introduce new technologies, methodologies, and best practices to improve data management in a regulated biotechnology environment
• Mentor other engineers and contribute to technical leadership, standards, and best practices across the organization

Qualifications

• BS with 8+ years, MS with 5+ years, or PhD with 3+ years of experience in a computational or scientific field (life science, computer science, engineering, mathematics, statistics, bioinformatics, etc.)
• Advanced proficiency in Python or R, with strong software engineering fundamentals
• Demonstrated experience designing end-to-end data systems and architectures — from ingestion and transformation to orchestration and visualization
• Deep understanding of data modeling, pipelines, orchestration, and data quality practices
• Prominent ability to lead complex, cross-functional projects with significant business or scientific impact
• Strong communication skills, with the ability to influence technical and non-technical stakeholders
• Experience operating with high autonomy in ambiguous problem spaces