Junior Data Engineer

About Ratio Therapeutics

Ratio Therapeutics is committed to improving and extending the lives of cancer patients without sacrificing their quality of life. We are a team of passionate scientists, engineers, and business professionals dedicated to advancing the field of targeted radioligand therapy.  To accomplish this, we utilize our proprietary TRILLIUM™ and MACROPA™ platforms:  TRILLIUM™ allows fine-tuning of radioligand pharmacokinetics thereby enhancing the therapeutic index, while MACROPA™ simplifies the manufacturing process for the alpha-emitting isotope, actinium-225. These enabling platform technologies have resulted in an emergent pipeline of novel therapeutic candidates. We are looking for talented, dedicated, and creative individuals eager to help us advance these technologies from discovery research through clinical development. Join us in our quest to become the leading innovator in radioligand therapy and improve the lives of cancer patients and their families.

About the Position

Ratio Therapeutics is seeking a highly motivated and detail-oriented Junior Data Engineer to join our dynamic Data team. This role will be pivotal in building, maintaining, and monitoring data pipelines that support our laboratory, R&D, and operational functions. The Junior Data Engineer will collaborate closely with scientists, engineers, and IT professionals to design and implement reliable data workflows, integrate data from diverse laboratory systems, and help establish best practices for data quality and governance.

Key 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.

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.
• 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.
• 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.

• Exposure to cloud platforms (e.g., AWS, Azure, GCP) or data engineering tools (e.g., Airflow, dbt, Spark) is a plus.

The annual base salary for this role is expected to range between $65,000.00 and $70,000.00. This range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.  The actual base salary offered will depend on a variety of factors, including qualifications, work experience, skills, level of education attained, certifications or other professional licenses held, the location in which the applicant lives and/or from which they will be performing the job, and other job-related factors permitted by law.