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Statistical Programmer Jobs in Lafayette, IN (NOW HIRING)

Cook Group

Biostatistician

West Lafayette, IN · On-site

$100 - $125/hr

Develop and maintain proficiency in statistical programming * Develop and apply data visualization techniques and foundational real-world data strategies * Interpret and communicate statistical ...

Rea-Magnet-Wire

Quality Engineer

Lafayette, IN · On-site

$80 - $100/hr

Quality Engineer Lafayette, IN, US 1 Attachments 8 days ago Requisition ID: 1332 Salary Range: $85 ... Process Improvement and Statistical Quality Control * Apply manufacturing, quality, and problem ...

Rea Magnet Wire Company

Quality Engineer

Lafayette, IN · On-site

$80 - $100/hr

Quality Engineer Lafayette, IN, US 1 Attachments Salary Range: $85,000.00 To $95,000.00 Annually ... Process Improvement and Statistical Quality Control * Apply manufacturing, quality, and problem ...

Rea-Magnet-Wire

Quality Systems Engineer

Lafayette, IN · On-site

$80 - $100/hr

Quality Systems Engineer Lafayette, IN, US 1 Attachments 3 days ago Requisition ID: 1335 Salary ... Supports MSA studies, and statistical analysis, and helps maintain effective quality systems ...

Walker Transport

Manager, Global Category

Lafayette, IN · On-site

Bachelor's Degree- preferring majors include Supply Chain, Accounting, Finance, Statistics, Engineering, Business, Information Technology or Organizational Leadership * Master's Degree is preferred ...

Trojan Battery Company

Engineer, Quality (CDT)

Attica, IN

$61K - $78K/yr

... basic statistical techniques to analyze, understand, and reduce process variation. Areas of Focus ... Support engineering efforts of analytical laboratory equipment and assist in the development and ...

Subaru

Process Engineer - Mfg Eng Body

Lafayette, IN · On-site

Process Engineer Body Section, Manufacturing Engineering Department Outline of Duties: * Requests ... Drives Kaizen activity, applies statistical and other improvement tools. * Leads improvement plans ...

C&D Technologies, Inc.

Engineer, Quality (CDT)

Attica, IN · On-site

$61K - $78K/yr

Position Overview Quality Engineer coordinates and implements effective processes, product, and ... basic statistical techniques to analyze, understand, and reduce process variation. Areas of Focus ...

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Statistical Programmer information

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How much do statistical programmer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for statistical programmer in Lafayette, IN is $141,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $154,200.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are the key skills and qualifications needed to thrive as a statistical programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs

What job categories do people searching Statistical Programmer jobs in Lafayette, IN look for?

The top searched job categories for Statistical Programmer jobs in Lafayette, IN are:

What cities near Lafayette, IN are hiring for Statistical Programmer jobs?

Cities near Lafayette, IN with the most Statistical Programmer job openings:

Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Lafayette, IN as of August 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 73% In-person, 2% Hybrid, and 25% Remote job distribution, with an average salary of $141,961 per year, or $68.3 per hour.

Biostatistician

West Lafayette, IN • On-site

Cook Group
Manufacturing • 10K+ employees
Learn more about Cook Groupexternal

$100 - $125/hr

Other

Posted 23 days ago

Job description

Overview

The Biostatistician is an individual contributor responsible for supporting the application of statistical methods to the design, analysis, and reporting of global clinical research studies. This role works under guidance to address the statistical needs of clinical and regulatory projects, contributing to study execution and the development of clinical evidence on behalf of the Cook organization.

Responsibilities
  • Follow and adhere to company and team policies, procedures, and regulatory requirements
  • Maintain all required training and actively pursue ongoing professional development
  • Ensure accuracy and quality of statistical work through peer review and collaboration prior to finalization
  • Apply statistical principles and methodology to support the design, execution, analysis, interpretation, and documentation of clinical studies
  • Contribute to statistical sections of clinical study protocols, reports, and other study documentation
  • Provide statistical support for bench and animal studies, as applicable, including analysis and interpretation of data
  • Manage assigned workload to meet project timelines and deliverables
  • Communicate regularly with team leadership on project status, progress, and risks
  • Support statistical activities across the clinical study lifecycle in collaboration with cross-functional team members
  • Collaborate with clinical, regulatory, and scientific team members to maintain statistical representation throughout assigned studies
  • Develop a foundational understanding of relevant clinical areas, including medical procedures, physiology, disease processes, and imaging techniques
  • Build working knowledge of the clinical study process and applicable global regulations
  • Develop and maintain proficiency in statistical programming
  • Develop and apply data visualization techniques and foundational real-world data strategies
  • Interpret and communicate statistical methods and results clearly to non-statistical audiences
  • Maintain reliable attendance, punctuality, and effective participation in team activities
  • Contribute to a collaborative team environment and continuous improvement of statistical practices
Qualifications
  • Master's degree in Statistics, Biostatistics, or similar technical degree
  • Proficiency in statistical programming using SAS or R
  • Understanding and application of statistical methods, including principles of experimental design
  • Ability to transform, analyze, summarize, and present data effectively using appropriate tools and techniques
  • Proficiency in Microsoft Office tools for analysis, documentation, and reporting
  • Foundational understanding of artificial intelligence (AI) and data concepts, including the ability to critically evaluate AI-generated outputs
  • Ability to leverage approved AI tools to improve workflows and analytical efficiency
  • Awareness of potential bias, limitations, and risks in data and AI-driven analyses, with the ability to communicate findings responsibly
  • Strong critical thinking and problem-solving skills with attention to detail
  • Ability to apply logical reasoning to evaluate data, identify issues, and support sound conclusions
  • Ability and willingness to work in a collaborative, team-based environment
  • Receptiveness to direction and feedback from team leadership to ensure alignment and efficient workflow
  • Strong organizational skills with the ability to manage multiple tasks and priorities
  • Capacity to handle multiple projects and meet deadlines in a structured environment
  • Demonstrated professionalism, reliability, and a strong work ethic
  • Strong personal integrity and adherence to statistical and scientific ethical standards
  • Commitment to accuracy, transparency, and responsible use of data
  • Qualified candidates must be legally authorized in the United States. Cook does not intend to provide sponsorship for employment visa status’ for this employment position.
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