An international biopharmaceutical company is looking for a quality statistical data analyst. The site specializes in chemical synthesis, development, manufacturing, and packaging of pharmaceutical products.
What you will do. Statistical Analysis and Process Monitoring:
- Apply statistical methods to identify trends, signals, and improvement opportunities within quality-related datasets.
- Support the implementation and interpretation of Statistical Process Control (SPC) methodologies, including control charts, process capability analysis, Pareto analysis, trend analysis, survival (time-to-event) analysis, and reliability analysis.
Data Analysis and Visualization:
- Prepare, clean, and analyze structured datasets from quality systems.
- Develop analytical scripts using R and/or Python.
- Create clear visualizations and dashboards to communicate insights to business stakeholders.
- Support the automation of recurring analysis and reporting activities.
Data Science Applied to Quality:
- Contribute to projects focused on trend analysis, signal detection, and quality performance indicators.
- Explore advanced analytical techniques such as predictive analytics, text mining, statistical modeling, and data mining.
- Help establish scientifically sound and reproducible analytical methodologies.
Certification and Validation:
- Perform certification and validation activities in compliance with internal policies and requirements.
- Provide support in line with internal standards for Computer System Validation (CSV), including the certification of required systems.
Collaboration and Continuous Improvement:
- Work closely with Quality and Digital Technology teams.
- Translate analytical findings into actionable business recommendations.
- Support digitalization initiatives aimed at improving efficiency, data integrity, and decision-making.
Your profile. Education: Master’s degree (or currently in the final year of a Master’s program) in Statistics, Data Science, Biostatistics, Applied Mathematics, Industrial Engineering, Computer Science, or another quantitative discipline. Languages: French proficiency is an asset; English fluency is essential (the direct manager and some team members are English-speaking only). Required technical skills:
- Knowledge of statistical analysis methods and their applications.
- Experience with R and/or Python programming.
- Familiarity with data visualization tools (Power BI, Tableau, or similar).
- Understanding of exploratory data analysis and data preparation techniques.
- Basic SQL knowledge is a plus.
Preferred knowledge:
- Interest in Statistical Process Control (SPC), process monitoring, reliability engineering, and/or the pharmaceutical, biotechnology, medical device, or other regulated industries.
Previous Industry Experience Is Not Required.
Practical
This program is in partnership with a French government agency and follows the prerequisites required for an international assignment. The main participation prerequisites are as follows:
- Be between 18 and 28 years old.
- Hold the nationality of a member country of the European Economic Area.
- Have not worked or lived in the country where the mission will take place.
- Be available to dedicate yourself to the mission full-time.
- If you have French nationality or dual nationality, be in compliance with the national service obligations of France (a defense identification number).
- Have a clean criminal record.
If you do not meet all these conditions, your application cannot be considered.
How to apply
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