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Statistical Programmer Jobs in Lexington, KY (NOW HIRING)

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 ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Quality Engineer

Berea, KY · On-site

$60K - $77K/yr

The Quality Engineer is responsible for supporting the execution of quality assurance strategies ... Implement, monitor, and analyze Statistical Process Control (SPC) programs to ensure process ...

Quality Engineer

Berea, KY

$60K - $77K/yr

The Quality Engineer is responsible for supporting the execution of quality assurance strategies ... Implement, monitor, and analyze Statistical Process Control (SPC) programs to ensure process ...

Measurements and Quality Engineer

Harrodsburg, KY · On-site

$57K - $73K/yr

Lead team of engineers and technicians to maintain current measurements technology to include ... Understanding of basic statistical and data analysis concepts and their application in ...

Data Analyst Senior

Lexington, KY

$81K - $103K/yr

The analyst will locate novel data sources, apply rigorous statistical methods, and deliver ... Confer with systems analysts, engineers, programmers, and others to design applications that assess ...

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

The analyst will locate novel data sources, apply rigorous statistical methods, and deliver ... Confer with systems analysts, engineers, programmers, and others to design applications that assess ...

Engineering Position Overview: As a Process Engineer, you will play a key role in improving ... Knowledge of quality tools such as PFMEA, control plans, and statistical process control (SPC)

Engineering Position Overview: As a Process Engineer, you will play a key role in improving ... Knowledge of quality tools such as PFMEA, control plans, and statistical process control (SPC)

... engineering preferred * M.S. or Ph.D. in a related field highly desired * 5+ years of experience with machine learning, statistical modeling, and optimization techniques * Fluent in Python (pandas ...

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

Using proven and sound statistical methods, the analyst draws insights from data, and translates ... Knowledge of programming language structures/logic and query languages such as SQL and object ...

Resident Engineer

Lexington, KY · On-site

$97K - $124K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

Resident Engineer

Frankfort, KY

$86K - $109K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

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Statistical Programmer information

See Lexington, KY salary details

$77.5K

$135K

$228.3K

How much do statistical programmer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistical programmer in Lexington, KY is $135,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $146,700.00 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 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 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 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 popular job titles related to Statistical Programmer jobs in Lexington, KY? For Statistical Programmer jobs in Lexington, KY, the most frequently searched job titles are:
Infographic showing various Statistical Programmer job openings in Lexington, KY as of July 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $145,163 per year, or $69.8 per hour.

Director of Biostatistics

micro1 AI

Lexington, KY • Remote

$60 - $65/hr

Part-time

Posted 4 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.