MSAT AI Data Analyst

MSAT AI Data Analyst

Do you want to play a key role in a fast-growing biotech environment where innovation, data, and patient impact come together? At Legend Biotech, we are looking for an MSAT AI Data Analyst who is passionate about transforming complex manufacturing and quality data into meaningful insights that drive better decisions, process improvements, and ultimately improve patient outcomes.

As part of the MSAT Data Management team, you will bridge the gap between data engineering, advanced analytics, and manufacturing science. You will work with large datasets generated across our CAR-T manufacturing processes, helping to unlock the full value of our data through statistical analysis, machine learning, and scalable data solutions. This is a unique opportunity to combine technical expertise with business impact in a highly innovative and GMP regulated environment.

What can you expect?

As an MSAT AI Data Analyst, you will play a pivotal role in evolving our data capabilities from simply providing data to generating actionable insights that support manufacturing excellence and continuous improvement.

Here’s what you’ll do:

• Extracting, transforming, and integrating data from multiple source systems such as MES, eLIMS, SAP and other manufacturing and quality platforms.
• Developing and maintaining scalable, automated ETL pipelines and data workflows.
• Performing statistical analyses to identify trends, process variability, and relationships between manufacturing parameters and product quality attributes.
• Applying advanced analytical techniques, machine learning, and predictive modelling to support process monitoring and optimization.
• Supporting investigations and root cause analyses through robust, data-driven insights and recommendations.
• Translating analytical findings into clear visualizations, reports, and presentations for both technical and non-technical stakeholders.
• Contributing to the development and continuous improvement of our GMP data lake and data architecture.
• Ensuring data integrity, consistency, and compliance across multiple data sources.
• Collaborating closely with Manufacturing, MSAT, Process Validation, Quality, and Investigation teams to drive data-driven decision making.
• Managing priorities proactively and engaging stakeholders to ensure data solutions create tangible business value.

Who are we looking for?

Education

• Master’s degree in Data Science, Statistics, Bioengineering, Engineering, Computer Science, Mathematics, or a related quantitative field.

Experience

• Minimum 3 years of experience in data engineering, data analytics, or data science.
• Experience working within a cGMP-regulated environment is required.
• Experience within biotech, biopharmaceutical manufacturing, or Cell & Gene Therapy is highly preferred.
• Hands-on experience applying statistical methods to manufacturing or process data.
• Experience building and automating data pipelines and ETL processes.
• Experience managing projects and setting priorities to deliver business outcomes.

Languages

• Fluent in English.

Strengths

• Naturally curious and motivated by solving complex problems through data.
• A critical thinker who challenges assumptions and develops evidence-based recommendations.
• Proactive and capable of identifying opportunities to create business value.
• Able to communicate complex analytical concepts in a clear and understandable way.
• Comfortable working cross-functionally with a wide variety of stakeholders.
• Well-organized and capable of managing multiple priorities simultaneously.
• Detail-oriented with a strong "first-time-right" mindset.

Expertise

• SQL and database structures.
• Python for data analysis (Pandas, NumPy, Scikit-Learn, Statsmodels or similar).
• Statistical analysis, including regression, multivariate analysis, hypothesis testing and statistical process control.
• Machine learning and predictive modelling.
• Data engineering and ETL pipeline development.
• Data visualization tools such as Power BI and Tableau.
• Power Query and advanced Excel functionalities.
• Azure cloud technologies, including Azure Data Factory, Databricks, Azure ML, or similar platforms.
• Databricks or similar modern data platforms.
• GMP, GDP, Data Integrity and computerized system validation (GAMP5).
• Translating business requirements into technical solutions and actionable insights.

What do we offer you?

A meaningful job withimpacton the organization.

A supportive and innovative work environment .

The opportunity to work with