Senior Applied Statistician

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

Benefits offered by this job

401(k) plan

Company matching

Career growth opportunities

Access to cutting-edge tools

Competitive compensation

Mentoring and leadership

Ethical and sustainable practices

Job summary

Lonza Portsmouth, NH is seeking a Sr. Applied Statistician to advance manufacturing control and process understanding within the Integrated Biologics Technical Operations Digital team.

You will design control charts, assess capabilities, and reduce variation across the site, turning data into practical actions and building statistical skills. The role requires 5+ years in industrial statistics, DoE expertise, and proficiency in R/Python, with cloud and DevOps familiarity to enable scalable

Qualifications

• Bachelor's degree in Statistics or related field.
• 5+ years in industrial statistics, manufacturing, and process control.
• Experience with cloud computing, Git, containers and DevOps for reproducible analyses.
• Strong DoE concepts to plan and analyze multi-factor experiments.
• Knowledge of MSPC, Hotelling’s T², and Six Sigma methodologies.
• Proficiency in R and Python; familiarity with Statistica, SIMCA or Minitab.

Responsibilities

• Lead GMP Statistics: drive strategies for monitoring processes and reducing variation.
• Manage Control Charts: design real-time and offline charts for quality parameters.
• Analyze Process Performance: evaluate capability and trends with advanced methods.
• Improve Process Robustness: identify variation sources and drive improvements with teams.
• Design Data Strategies: build data collection plans, MSA, and experiment designs.
• Ensure Regulatory Compliance: align data and validation with FDA/ICH.
• Train and Align Teams: mentor global statisticians and site workers in statistical thinking.

Skills

Statistical analysis

DoE (Design of Experiments)

MSPC (multivariate SPC)

R & Python

Six Sigma

GMP statistics

Education

Bachelor's degree in Statistics or related field

Tools

Git

Containers

DevOps practices

Cloud computing

TIBCO Statistica

SIMCA

Minitab

Job description

United States, Portsmouth (New Hampshire)

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.

• 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,ITor related fieldEngineering.

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.