MSAT AI Data Analyst

Legend Biotech US; Oost-Vlaanderen; Sur place; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

Company laptop

Smartphone

Group health insurance

End-of-year bonus

Performance bonus

Bicycle lease plan

Fringe benefits including holidays

Résumé du poste

Legend Biotech is hiring an MSAT AI Data Analyst to transform manufacturing and quality data into actionable insights, enabling process improvements and better decision-making.

You will work at the intersection of data engineering, analytics, and MSAT, handling MES, SAP, and eLIMS data in a GMP setting, and building scalable ETL, ML, and visualization solutions for manufacturing excellence.

Qualifications

• Master’s degree in Data Science, Statistics, Bioengineering, Engineering, Computer Science, Mathematics, or related quantitative field.
• Minimum 3 years of experience in data engineering, data analytics, or data science.
• Experience in a cGMP-regulated environment is required.
• Biotech/manufacturing or Cell & Gene Therapy experience preferred.
• Hands-on experience applying statistical methods to manufacturing or process data.
• Experience building automated data pipelines and ETL processes.
• Experience managing projects and setting priorities to deliver business outcomes.

Responsabilités

• Extracting, transforming, and integrating data from MES, eLIMS, SAP and other platforms.
• Developing and maintaining scalable ETL pipelines and workflows.
• Performing statistical analyses to identify trends and relationships with product quality.
• Applying machine learning and predictive modelling for process monitoring.
• Supporting investigations with data-driven insights and recommendations.
• Creating visualizations and reports for technical and non-technical stakeholders.
• Contributing to GMP data lake and data architecture improvements.
• Ensuring data integrity and compliance across sources.
• Collaborating with Manufacturing, MSAT, Process Validation, Quality, and Investigation teams.

Connaissances

SQL and database structures

Python for data analysis

Statistical analysis

Machine learning

Data engineering and ETL

Data visualization (Power BI/Tableau)

Excel / Power Query

Azure cloud (Data Factory/Databricks/A

Databricks

GMP/GDP/Data Integrity

translating business requirements

Formation

Master’s degree in Data Science or related field

Outils

Python (Pandas, NumPy)

SQL databases

Power BI

Tableau

Azure Databricks

Azure ML

Description du poste

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 people from all over the world.

A permanent contract of indefinite duration and an attractive salary package complemented by a wide range of fringe benefits, including additional statutory holidays, meal vouchers, company laptop, smartphone and subscription, net allowance, group and hospitalization insurance, double holiday pay, end-of-year bonus, performance bonus and the possibility to participate in our bicycle lease plan.

Many fun and informal events.

About Legend Biotech

Legend Biotech is a global biotechnology company dedicated to developing, manufacturing, and commercializing innovative and life-saving cell therapies for the treatment of chronic and life-threatening diseases, such as cancer.

The company was founded in 2014 and is headquartered in Somerset, New Jersey. Legend Biotech now employs over 2,400 people across six global manufacturing sites. Two of these sites is in Ghent: Obelisc (Technology Park Zwijnaarde) and Tech Lane (Eilandje Zwijnaarde).

In Ghent, Legend Biotech focuses on the production of advanced CAR-T cell therapies for the treatment of multiple myeloma, in close collaboration with Johnson & Johnson.

Legend Biotech is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend’s policy to ensure equal employment opportunity without discrimination or harassment based based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.

Legend Biotech maintains a drug-free workplace.

You can find more information about how we collect, use, and protect your personal data for recruitment purposes, including your rights under applicable data protection laws, in our Candidate Privacy Notice here: https://legendbiotech.eu/en/candidate-privacy-notice (Dutch: https://legendbiotech.eu/nl/candidate-privacy-notice).