Senior Applied Statistician

Lonza; Portsmouth (NH); On-site; Confidential; Full time

Benefits offered by this job

401(k) plan with company matching

Collaborative work environment

Career growth opportunities

Access to cutting-edge technologies

Competitive compensation and benefits

401(k) matching plan with competitive

Supportive leadership and mentoring

Commitment to ethical and sustainable

Job summary

Lonza in Portsmouth, NH seeks a Senior Applied Statistician to apply industrial statistics for manufacturing control and process understanding. You will design control charts, assess capabilities, and collaborate with multiple teams to reduce variation and build statistical capability across sites.

We expect 5+ years in industrial statistics, experience with modern statistical tools, DoE, MSPC, and strong communication to explain concepts to operators and leadership.

Qualifications

• Bachelor's degree in Statistics, Computer Science, IT or related field Engineering.
• 5+ years in industrial statistics, manufacturing, and process control.
• Experience with modern statistical development environments including cloud, Git, containers and DevOps.
• Deep understanding of DoE concepts to plan and analyze multi-factor experiments.
• Knowledge of MSPC, Hotelling’s T² and generalized variance control charts, MSA, Six Sigma.
• Advanced proficiency in R, Python, TIBCO Statistica, SIMCA or Minitab.

Responsibilities

• Lead GMP Statistics: drive statistical strategies for manufacturing to monitor processes and reduce variation.
• Manage Control Charts: design real-time and offline charts to track critical quality parameters.
• Analyze Process Performance: use advanced data methods to evaluate process capability and trends.
• Improve Process Robustness: find variation sources and partner with teams to improve consistency.
• Design Data Strategies: build data collection plans, measurement system analyses, and experiment designs.
• Ensure Regulatory Compliance: align data and validation activities with FDA and ICH guidelines.
• Train and Align Teams: guide global statisticians and train site workers in statistical thinking.

Skills

GMP Statistics

Control Charts

Process Capability

DoE (Design of Experiments)

R

Python

Statistical Thinking

Team Training

Education

BS in Statistics or related field

Tools

R

Python

GIT

DevOps practices

Job description

United States, Portsmouth (New Hampshire)

Senior Applied Statistician

Location: On-site, Portsmouth, NH. Relocation assistance is available for eligible candidates and their families.

As a key member of the Integrated Biologics Technical Operations Digital team, the Sr. Applied Statistician uses industrial statistics to improve manufacturing control and process understanding. The position designs control charts, assesses capabilities, and reduces variation. Working with multiple teams, the expert turns data into practical actions and builds site-wide statistical skills.

What You Will Get

• 401(k) plan with competitive company matching.
• A collaborative and inclusive work environment.
• Opportunities for career growth and development.
• Access to cutting-edge technologies and tools.
• Competitive compensation and benefits package.
• 401(k) matching plan with competitive company matching.
• Supportive leadership and mentoring.
• Commitment to ethical and sustainable practices.

Access to our full list of global benefits: https://www.lonza.com/careers/benefits

What You Will Do

• Lead GMP Statistics: Drive statistical strategies for manufacturing to monitor processes and reduce variation.
• Manage Control Charts: Design real-time and offline charts to track critical quality parameters.
• Analyze Process Performance: Use advanced data methods to evaluate process capability and trends.
• Improve Process Robustness: Find variation sources and partner with teams to improve consistency.
• Design Data Strategies: Build data collection plans, measurement system analyses, and experiment designs.
• Ensure Regulatory Compliance: Align data and validation activities with FDA and ICH guidelines.
• Train and Align Teams: Guide global statisticians and train site workers in statistical thinking.

What We Are Looking For

• Bachelors of Science in Statistics, Computer Science, IT or related field Engineering.
• 5+ years of experience in industrial statistics, manufacturing, and process control is required, together with a passion for using statistical thinking to improve operational performance and build statistical capability across sites.
• Experience with modern statistical development environments, including cloud computing, Git, containers and DevOps practices, enabling reproducible, scalable statistical analyses beyond locally executed scripts.
• Deep understanding of experimental design (DoE) concepts to plan, execute and analyze multi-factor experiments to optimize the process parameters, identify root causes of defects and validate engineering changes.
• Deep theoretical and practical knowledge of acceptance sampling plans, multivariate statistical process control (MSPC), Hotelling’s T² and generalized variance control charts, measurement system analysis, and Six Sigma methodologies.
• Advanced proficiency in statistical software and coding languages such as R, Python, TIBCO Statistica, SIMCA or Minitab.
• Strong communication and presentation skills to explain statistical concepts to plant operators and senior leadership.

About Lonza

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Reference: R78556