Scientific Data Engineer

R&D Partners; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

R&D Partners in Greater London is seeking a Scientific Data Engineer to help drive innovation in gene therapy and rare diseases through robust data infrastructure and scalable workflows. You will build data models, pipelines, and ELN templates, develop SQL queries and dashboards, and collaborate with data scientists and lab researchers to enable data-driven decisions.

The role requires a degree in a scientific field and experience with data engineering, Benchling, GitHub, Python, and

Qualifications

• Degree in Bioprocessing, Biochemical Engineering, or a related scientific field.
• Experience with data science or data engineering in data-intensive projects.
• Proficiency in SQL and data querying.
• Familiarity with ELNs such as Benchling.
• Knowledge of GitHub.

Responsibilities

• Develop and maintain R&D data infrastructure to support scientific workflows.
• Build SQL queries, dashboards, and reporting solutions for data access.
• Support data analysis with data mining, exploration, and ML projects.
• Ensure data quality and lifecycle governance.
• Provide training and support for R&D software tools.

Skills

SQL

Data engineering

Bioprocessing

Biochemical Engineering

Data Science

GitHub

Benchling

Python

Spotfire

Education

Bioprocessing or Biochemical Engineering degree

Related scientific field

Tools

GitHub

Benchling

Spotfire

Python

Job description

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.