Junior Data Engineer at Ratio Therapeutics in Boston, MA

Summary: Ratio Therapeutics is committed to improving and extending the lives of cancer patients without sacrificing their quality of life. The Junior Data Engineer will play a crucial role in building and maintaining data pipelines that support laboratory, R&D, and operational functions, collaborating closely with various teams to ensure data quality and governance. Responsibilities: - Design, implement, and maintain data pipelines that move and transform data from laboratory instruments, ELNs, LIMS, and other source systems into our centralized data platforms - Work closely with stakeholders to understand data requirements, data models, and workflows, and translate these into robust, well-documented data engineering solutions - Develop and maintain reusable scripts and automation (e.g., for file ingestion, API integrations, data transformations, and validation checks) using modern programming languages and tools (e.g., Python) - Monitor data pipelines and jobs, investigate failures or performance issues, and help improve pipeline reliability, observability, and scalability over time - Implement data quality checks and validation rules to ensure completeness, consistency, and accuracy of laboratory and study data - Collaborate with the data team to deploy, version, and maintain data workflows in shared environments (e.g., dev/test/prod), following best practices for code review and change management - Contribute to documentation and standards for data schemas, pipeline designs, and data governance, helping to establish and refine best practices for the Data team - Support end users (scientists, analysts, and other stakeholders) by troubleshooting data-related issues and building small utilities or tools that make data easier to access and use Required Qualifications: - Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Bioinformatics, or a related technical field, or equivalent practical experience - Foundational experience with programming for data work, preferably in Python or a similar language (through coursework, internships, or projects) - Experience developing web-based user interfaces (e.g. VueJS, React) - Understanding of ETL/ELT concepts and data pipelines, including working with structured data (e.g., CSV, relational databases) and semi-structured data (e.g., JSON) - Basic experience with SQL for querying and transforming data - Strong analytical and problem-solving skills, with an interest in debugging and improving data workflows - Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders Preferred Qualifications: - Familiarity with version control (e.g., Git) and collaborative software development practices is a plus - Exposure to data integration in a lab, biotech, or healthcare environment (e.g., ELN, LIMS, instrument data) is a plus but not required - Exposure to cloud platforms (e.g., AWS, Azure, GCP) or data engineering tools (e.g., Airflow, dbt, Spark) is a plus Required Skills: Python, Web-based user interface development, ETL/ELT concepts, Data pipelines, Structured data, Semi-structured data, SQL, Version control, Data integration in lab/biotech/healthcare environment, Analytical skills