Pioneering Medicines is seeking to build a world-class biopharmaceutical R&D capability focused on conceiving and developing life-changing treatments for patients by harnessing the power of Flagship's scientific platforms and applying those innovative approaches to serious diseases with unmet medical need.
Requirements
- Strong experience building data pipelines using Python and SQL.
- Proficiency with AWS data services (e.g., S3, Glue, Redshift, RDS, Athena).
- Familiarity with modern data frameworks (e.g., Airflow, dbt, Spark).
- Experience working with both structured and unstructured data (CSV, JSON, Parquet, etc.).
- Working knowledge of CI/CD and Git-based development workflows.
- Experience supporting bioinformatics, cheminformatics, or clinical data workflows.
- Familiarity with data visualization tools (e.g., Tableau, Spotfire) or notebook environments (e.g., Jupyter, RStudio).
Responsibilities
- Build, maintain, and optimize data pipelines in AWS to support scientific and operational use cases.
- Partner with scientists, bioinformaticians, and analysts to ingest, transform, and structure data for analytics and modeling.
- Contribute to the development of scalable data lakes, marts, and warehouse solutions.
- Implement automation and CI/CD for data workflows to ensure reproducibility and scalability.
- Monitor and support production pipelines, troubleshoot issues, and drive continuous improvement.
- Collaborate with application teams to integrate data systems with scientific and operational tools.
- Ensure data security, quality, and compliance with regulatory and privacy standards.
Other
- A builder’s mindset and a passion for solving complex data problems.
- Curiosity and a desire to learn scientific domains and business drivers.
- A sense of urgency and a bias toward action.
- Commitment to quality, reliability, and reproducibility in engineering work.
- 3+ years of experience in data engineering, ideally in the life sciences or healthcare domain.
- Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
