Job Description

Position Overview

• Location Type: Onsite
• Employment Type: Full Time
• Work Schedule: Standard (Mon-Fri)
• Salary: Not provided

At Thermo Fisher Scientific, you’ll discover impactful work, innovative thinking and a culture dedicated to working the right way, for the right reasons - with the customer always top of mind. The work we do matters, like helping customers find cures for cancer, protecting the environment, making sure our food is safe and delivering COVID-19 solutions. As the world leader in serving science, with the largest investment in R&D in the industry, our colleagues are empowered to realize their full potential as part of a fast-growing, global organization that values passion and unique contributions. Our commitment to our colleagues across the globe is to provide the resources and opportunities they need to make a difference in our world while building a fulfilling career with us.

Department

• Quality Digital Innovation

Reports To

• Senior Director, Digital Quality

Lead digital transformation of QMS using advanced analytics and statistical models.

Key Responsibilities

• Analyze large, complex quality data sets to identify patterns, trends, and insights that improve quality outcomes and operational efficiency.
• Develop and implement statistical models and machine learning algorithms to predict quality issues, enhance risk management, and improve decision-making.
• Collaborate with AI engineers, QMS users, and IT teams to define and prioritize data science projects.
• Conduct exploratory data analysis (EDA) to understand quality-related data, ensuring effective modeling and prediction of key quality indicators.
• Develop and maintain dashboards and visualizations to monitor quality metrics and model performance.
• Ensure data science solutions align with GxP and other relevant regulatory frameworks, maintaining data integrity and auditability.
• Provide mentorship on standard methodologies for data analysis, statistical methods, and data modeling in regulated environments.

Required Skills and Qualifications

• Education: Bachelor’s or equivalent experience in Data Science, Computer Science or a related field.
• Experience: Strong experience in data analytics, statistical modeling, and machine learning.
• Programming Languages: Proficiency with programming languages such as Python, R, SQL, and data science libraries such as Pandas, NumPy, scikit-learn, and Matplotlib.
• Data Visualization Tools: Experience with data visualization tools like Tableau, Power BI, or custom dashboards.
• Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, GCP) and experience working with large-scale data.
• Regulatory Knowledge: Understanding of GxP principles, 21 CFR Part 11, and other regulatory standards is highly desirable.
• Soft Skills: Strong problem-solving, communication, and collaboration skills.

Company Information

• Mission: To enable our customers to make the world healthier, cleaner and safer.
• Values: Integrity, Intensity, Innovation and Involvement.