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Assistant R Statistical Programmer Jobs in Oklahoma City, OK

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Job Title Senior Design Release Engineer About Canoo Canoo's mission is to bring EVs to Everyone ... * Assist in the development of detailed DVP&R plans, including statistical confidence intervals

Job Title Test Engineer - LabView About Canoo Canoo's mission is to bring EVs to Everyone and build ... of the Position) * Assist in the development of detailed DVP&R plans, including statistical ...

Job Title Test Engineer - Design About Canoo Canoo's mission is to bring EVs to Everyone and build ... racks * Assist in the development of detailed DVP&R plans, including statistical confidence ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Continuously improve forecast accuracy using statistical and machine learning techniques Customer ... Data Engineering / DW team * Product, Marketing, and Finance stakeholders * Help define scalable ...

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Assistant R Statistical Programmer information

See Oklahoma City, OK salary details

$78.5K

$136.8K

$231.3K

How much do assistant r statistical programmer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for assistant r statistical programmer in Oklahoma City, OK is $136,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $148,600.00 per year, depending on experience, location, and employer.

What is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

What are the most commonly searched types of R Statistical Programmer jobs in Oklahoma City, OK? The most popular types of R Statistical Programmer jobs in Oklahoma City, OK are:
What are popular job titles related to Assistant R Statistical Programmer jobs in Oklahoma City, OK? For Assistant R Statistical Programmer jobs in Oklahoma City, OK, the most frequently searched job titles are:
What job categories do people searching Assistant R Statistical Programmer jobs in Oklahoma City, OK look for? The top searched job categories for Assistant R Statistical Programmer jobs in Oklahoma City, OK are:

Director of Biostatistics

micro1 AI

Norman, OK • 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.