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Statistical Programming Jobs in Jacksonville, FL

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

Jacksonville, FL · On-site

$66K - $86K/yr

Kavaliro is seeking a detail-oriented Quality Engineer to support the development, implementation ... Product Quality & Statistical Analysis * Evaluate product quality through statistical analysis ...

Quality Engineer Full-time Jacksonville, FL, US Exclusive confidential search -- details shared ... Design and apply statistical methods, sampling plans, and control charts to assess and improve ...

Materials Engineering Co-Op Fall 2027

Jacksonville, FL · On-site

$15.50 - $20.25/hr

Materials Engineering Co-Op helps deliver a wide range of raw material characterization and ... Statistical design and analysis of experiments (Minitab or any statistical analysis tool)

New

Quality Engineer

Orange Park, FL

$59K - $76K/yr

Job Summary The Quality Engineer is responsible for ensuring aerospace hose products meet all ... Statistical Process Control (SPC) and data analysis * Risk assessment and quality planning

Quality Engineer

Orange Park, FL · On-site

$59K - $76K/yr

Job Summary The Quality Engineer is responsible for ensuring aerospace hose products meet all ... Statistical Process Control (SPC) and data analysis * Risk assessment and quality planning

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Statistical Programming information

See Jacksonville, FL salary details

$78.3K

$136.5K

$230.7K

How much do statistical programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical programming in Jacksonville, FL is $136,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $148,200.00 per year, depending on experience, location, and employer.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

What are the key skills and qualifications needed to thrive as a statistical programmer?

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are popular job titles related to Statistical Programming jobs in Jacksonville, FL?

For Statistical Programming jobs in Jacksonville, FL, the most frequently searched job titles are:

What job categories do people searching Statistical Programming jobs in Jacksonville, FL look for?

The top searched job categories for Statistical Programming jobs in Jacksonville, FL are:

What cities near Jacksonville, FL are hiring for Statistical Programming jobs?

Cities near Jacksonville, FL with the most Statistical Programming job openings:

Infographic showing various Statistical Programming job openings in Jacksonville, FL as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $136,475 per year, or $65.6 per hour.

Director of Biostatistics

micro1 AI

Jacksonville, FL • Remote

$60 - $65/hr

Part-time

Posted 18 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.