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Applied Statistician Jobs (NOW HIRING)

Lonza

Senior Applied Statistician

Portsmouth, NH · On-site

$88K - $109K/yr

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 ...

Lonza

Senior Applied Statistician

Portsmouth, NH · On-site

$88K - $109K/yr

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 ...

Jobtailor

ENERGY AND WATER STATISTICIAN

Arlington, VA · On-site

$90 - $110/hr

Master's degree or higher in Statistics, Applied Mathematics, Data Science, or a related quantitative field. * Minimum six (6) years of professional experience in statistical analysis, predictive ...

Huntington Ingalls Industries

$85K - $130K/yr

Applied Statistician HII-Mission Technologies is seeking a Statistician to support the development and testing of defense systems. What do we do? In this role, you will partner with interdisciplinary ...

KLA

Staff Statistician

Milpitas, CA · On-site

The Staff Statistician provides strategic leadership for applied statistics, probability modeling, and reliability analytics across KLA's product, engineering, and service organizations, influencing ...

KLA

Staff Statistician

Milpitas, CA · On-site

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

Orbotech

Staff Statistician

Milpitas, CA

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

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Applied Statistician information

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$40.5K

$83.7K

$117K

How much do applied statistician jobs pay per year?

As of Aug 31, 2026, the average yearly pay for applied statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an applied statistician?

An applied statistician is a professional who uses statistical methods and techniques to collect, analyze, and interpret data in order to solve real-world problems. They work across various industries, such as healthcare, finance, government, and technology, to inform decision-making and improve processes. Applied statisticians design experiments, develop predictive models, and communicate their findings to stakeholders, often using specialized software and programming languages. Their work supports evidence-based strategies and helps organizations make informed choices.

What does an applied statistician do?

As an applied statistician, you apply statistical formulas and analysis to real-world situations. Your responsibilities and the scope of your job vary depending on the needs of your employer. You may develop a plan to collect data, perform analysis using statistical methods, and formulate a report on your findings. You may also use statistical analysis to solve specific problems or identify trends in an organization, a city, or an industry. You also use computer software to organize and analyze large amounts of data.

What are the key skills and qualifications needed to thrive as an applied statistician, and why are they important?

To thrive as an Applied Statistician, you need strong quantitative skills, a solid background in statistics or mathematics, and typically at least a bachelor's or master's degree in a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and experience with data management systems are commonly required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying findings to stakeholders. These skills ensure accurate data analysis, effective decision-making, and clear presentation of complex statistical concepts in real-world applications.

What are some common challenges an applied statistician faces when working with cross-functional teams?

Applied Statisticians often work closely with professionals from diverse backgrounds, such as engineers, business analysts, and subject matter experts. One common challenge is translating complex statistical concepts into actionable insights for non-technical stakeholders. Additionally, balancing the need for methodological rigor with practical constraints like tight deadlines and limited data quality can be demanding. Success in this role often depends on strong communication skills, adaptability, and the ability to collaborate effectively to ensure statistical analyses drive meaningful decisions.

What is the difference between Applied Statistician vs Data Analyst?

AspectApplied StatisticianData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentResearch settings, industries like healthcare, finance, manufacturing; focus on statistical modelingBusiness environments, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageEmployers seeking advanced statistical analysis for decision-makingOrganizations needing data-driven insights for operational improvements

Applied Statisticians and Data Analysts both work with data, but Applied Statisticians focus more on developing statistical models and methods, often requiring advanced statistical knowledge. Data Analysts typically handle data cleaning, visualization, and reporting to support business decisions. While their skills overlap, their roles differ in complexity and focus, with Applied Statisticians often involved in more technical, research-oriented tasks.

What is a good salary for an applied statistician?

The average salary for an applied statistician varies by experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Senior roles with advanced skills in statistical software and data analysis can earn higher salaries, especially in competitive markets or specialized sectors.

What jobs use applied statistics?

Applied statisticians work in various fields such as healthcare, finance, marketing, government, and technology, applying statistical methods to solve real-world problems. They often analyze data, develop models, and use tools like R, SAS, or Python to inform decision-making and policy. These roles typically require strong analytical skills and knowledge of statistical software and techniques.
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Applied Statistician jobs near you
Infographic showing various Applied Statistician job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Senior Applied Statistician

Lonza

Portsmouth, NH • On-site

$88K - $109K/yr

Full-time

Retirement

Posted 14 days ago

Lonza rating

8.3

Company rating: 8.3 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

26th of 86 rated pharmaceutical

Job description

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.
Ready to shape the future of life sciences? Apply now.

What Lonza employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lonza

Sourced by ZipRecruiter

Industry

Biotechnology research and development and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Bern, KS, US

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