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Part Time Data Analyst R Programming Jobs in Colorado

micro1 AI

Director of Biostatistics

Centennial, CO · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

New

micro1 AI

Director of Biostatistics

Arvada, CO · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

New

micro1 AI

Director of Biostatistics

Westminster, CO · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

New

micro1 AI

Director of Biostatistics

Greeley, CO · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

New

micro1 AI

Digital Chemistry Specialist - Remote

Aurora, CO · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

micro1 AI

Digital Chemistry Specialist - Remote

Denver, CO · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

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All JobsData Analyst R Programming JobsPart Time Data Analyst R Programming JobsPart Time Data Analyst R Programming Jobs in Colorado

Part Time Data Analyst R Programming information

What is the difference between Part Time Data Analyst R Programming vs Part Time Data Analyst Python?

AspectPart Time Data Analyst R ProgrammingPart Time Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, reporting, statistical modelingData analysis, automation, machine learning projects
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles involve data analysis in a part-time setting but differ mainly in programming language expertise. R is favored for statistical analysis and visualization, while Python is preferred for automation and machine learning tasks. Your choice depends on the specific tools and industry focus.

Do part time data analysts use R programming?

Part time data analysts often use R programming to perform data analysis, statistical modeling, and visualization tasks. Proficiency in R can enhance their ability to handle large datasets and deliver insights efficiently, making it a valuable skill for flexible or part time roles in data analysis.

Are R programmers in demand?

R programmers, including those with expertise in R programming for data analysis, are in demand across industries such as finance, healthcare, and technology due to the growing need for data-driven decision making. Skills in statistical analysis, data visualization, and familiarity with tools like RStudio increase employability in this field.
What are the most commonly searched types of Data Analyst R Programming jobs in Colorado? The most popular types of Data Analyst R Programming jobs in Colorado are:
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Part Time Data Analyst R Programming jobs near you

Director of Biostatistics

micro1 AI

Centennial, CO • Remote

$60 - $65/hr

Part-time

Posted 3 days ago

New

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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