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Statistical Programmer Jobs in Omaha, NE (NOW HIRING)

micro1 AI

Director of Biostatistics

Omaha, NE · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Kemper

Data Science Manager

Omaha, NE · Hybrid

PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.

Pae

Assessment Integrator (SME)

Omaha, NE

Proficiency in programming languages like Python and R. * Experience with BI tools such as Tableau ... Statistical package expertise in IBM SPSS/PASW, R, STATA or MS Excel statistics. Compensation ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical ...

Deloitte

Lead AI and Data Science Engineer II

Omaha, NE · On-site

$98K - $129K/yr

In this role, you will lead complex data science work that combines research design, statistical ... Software & Data Engineering * Develop full-stack, web-based data and generative artificial ...

Bluestem Biosciences

Senior Proccess Engineer

Omaha, NE · On-site

$99K - $128K/yr

Bluestem Biosciences has engineered a breakthrough in American manufacturing. Our proprietary ... Strong proficiency with process modeling software (e.g., ASPEN+, SuperPro Designer) and statistical ...

Bluestem Biosciences

Senior Proccess Engineer

Omaha, NE · On-site

$99K - $128K/yr

Bluestem Biosciences has engineered a breakthrough in American manufacturing. Our proprietary ... Strong proficiency with process modeling software (e.g., ASPEN+, SuperPro Designer) and statistical ...

Bluestem Biosciences

Senior Proccess Engineer

Omaha, NE

$99K - $128K/yr

Bluestem Biosciences has engineered a breakthrough in American manufacturing. Our proprietary ... Strong proficiency with process modeling software (e.g., ASPEN+, SuperPro Designer) and statistical ...

Snap, Inc.

Senior Data Scientist, Level 5

Bellevue, NE · On-site

Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience * 5+ years ...

Snapchat

Senior Data Scientist, Level 5

Bellevue, NE · On-site

Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience * 5+ years ...

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Showing results 1-20

All JobsStatistical Programmer JobsStatistical Programmer Jobs in Omaha, NE

Statistical Programmer information

See Omaha, NE salary details

$80.8K

$140.9K

$238.1K

How much do statistical programmer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for statistical programmer in Omaha, NE is $140,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $153,000.00 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 are the most commonly searched types of Statistical Programmer jobs in Omaha, NE?

The most popular types of Statistical Programmer jobs in Omaha, NE are:

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For Statistical Programmer jobs in Omaha, NE, the most frequently searched job titles are:

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The top searched job categories for Statistical Programmer jobs in Omaha, NE are:

Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Omaha, NE as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $140,871 per year, or $67.7 per hour.

Director of Biostatistics

micro1 AI

Omaha, NE • Remote

$60 - $65/hr

Part-time

Posted 12 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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