Scientific Data Engineer

Join a pioneering biotechnology company where your data engineering expertise will help drive innovation in gene therapy and improve the lives of patients with rare diseases.

R&D Partners is seeking a Scientific Data Engineer to join an ambitious biotechnology company specializing in gene therapy and rare diseases. This role focuses on developing and maintaining R&D data infrastructure, supporting scientific workflows, and enabling data-driven decision-making across the organization.

Please note that to be considered for this role you must have the right to work in this location.

Responsibilities

• Develop and maintain R&D data infrastructure, including data models, pipelines, and electronic lab notebook (ELN) templates to support scientific workflows and data capture.
• Build SQL queries, dashboards, and reporting solutions to improve access to operational and scientific data across the R&D organization.
• Support data analysis activities by performing data mining, data exploration, feature engineering, and contributing to AI/ML, statistical, and modeling projects alongside data scientists and laboratory scientists.
• Ensure data quality and integrity throughout the data lifecycle by developing tools, maintaining documentation, and following software development best practices.
• Provide technical support and training for R&D software tools, helping users resolve issues, adopt new solutions, and maximize the value of data-driven technologies.

Key Skills and Requirements

• Degree in Bioprocessing, Biochemical Engineering, or a related scientific field.
• Knowledge or experience in Data Science, Data Engineering, or data-intensive coding projects.
• Proficiency in SQL, specifically programming queries.
• Understanding of GitHub.
• Familiarity with Benchling (an Electronic Lab Notebook).
• Knowledge of Spotfire or Python is highly advantageous.

For more information, please contact Jack Gordon.

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