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Statistical Programmer Jobs in Indiana (NOW HIRING)

Can review or develop ADAM specifications; can work with programmers and junior statisticians to resolve comments. * High technical level, Subject Matter Expert in biostatistics; willing to guide ...

... programmers and junior statisticians to resolve comments High technical level, Subject Matter Expert in biostatistics; willing to guide others in a variety of biostatistical techniques Has the ...

Proficient in statistical programming languages/software such as SAS, R, Spotfire, etc * Interpersonal communication skills for effective customer consultation and collaboration * Teamwork and ...

Maintain proficiency with respect to SAS programming and statistical methodology and in applying new and varied methods. * Effectively justify methods selected and implement previously outlined ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

CMM Programmer Job Summary: The CMM Programmer is responsible for developing and executing ... providing statistical reports reflecting process control, process capability and gauge ...

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Showing results 1-20

Statistical Programmer information

See Indiana salary details

$80.4K

$140.2K

$236.9K

How much do statistical programmer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for statistical programmer in Indiana is $140,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $152,200.00 per year, depending on experience, location, and employer.

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 are statistical programmers?

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.

Is SAS a good career choice?

A career as a Statistical Programmer using SAS is in demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and reporting are essential. Proficiency in SAS, along with knowledge of programming and statistical methods, can lead to stable employment and opportunities for advancement.

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.

What are the most commonly searched types of Statistical Programmer jobs in Indiana? The most popular types of Statistical Programmer jobs in Indiana are:
What job categories do people searching Statistical Programmer jobs in Indiana look for? The top searched job categories for Statistical Programmer jobs in Indiana are:
What cities in Indiana are hiring for Statistical Programmer jobs? Cities in Indiana with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Indiana as of May 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $140,157 per year, or $67.4 per hour.
Principal Computational Statistician

Principal Computational Statistician

Lilly

Indianapolis, IN • On-site

$66K - $193K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

11th of 71 rated pharmaceutical


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.

Organization Overview:

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Responsibilities

Statistical Analysis:

  • Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans, write reports and communicate results, assist/respond to regulatory queries.
  • Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the analysis plan, and conducting the actual analysis once a reporting database is created.
  • Collaborate with data management in the planning and implementation of data quality assurance plans.
  • Maintain proficiency with respect to SAS/R programming and statistical methodology and in applying new and varied methods.
  • Effectively justify methods selected and implement previously outlined analysis plans.
  • Conduct peer-review of work products from statistical colleagues.
  • Effectively use current technologies and available tools for conducting the clinical trial analysis.
  • Responsible for assisting in the communication of study results via regulatory submissions, and manuscripts, as well as for communicating one-on-one with key customers.

Therapeutic Area and Systems Knowledge:

  • Understand relevant disease states in order to enhance the level of customer focus and collaboration.
  • Ensure replication of tools and systems, where applicable and stay informed of technological advances.

Regulatory and Quality Compliance:

  • Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training.

Basic Qualifications

  • Master's degree in Statistics, Biostatistics or MSPH with concentration in Statistics or Biostatistics, or relevant areas of science
  • 2+ years ofstatistical analysis/programming experience

Additional Skills/Preferences

  • Proficiency in statistical programming languages/software such as SAS, R, Spotfire, etc.
  • Interpersonal/teamwork skills for effective interactions
  • Technical growth and application with solid understanding of statistics and statistical software
  • Self-management skills with a focus on results for prompt and accurate completion of competing deliverables
  • Creativity and innovation
  • Demonstrated problem solving ability and attention to detail.
  • Data analysis, technology, and systems expertise

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is

$66,000 - $193,600

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly


What Eli Lilly and Company employees say

Pay

Benefits

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Workplace

Get the full story on Breakroom


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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876