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Part Time Data Analyst R Programming Jobs in South Carolina

micro1 AI

Director of Biostatistics

Columbia, SC · 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 ...

iHeartMedia

Programming

Myrtle Beach, SC · On-site

... and podcasting, which bring data, targeting and attribution to all forms of audio at an ... Regular Time Type: Part time Pay Type: Hourly Benefits: iHeartMedia's benefits offering is flexible ...

City of Columbia, SC

PARK CENTER AIDE- P/T

Columbia, SC · On-site

$14 - $17.50/hr

P&R RECREATION PROGRAMS Opening Date: 08/10/2026 Closing Date: 9/11/2026 11:59 PM Eastern Pay Grade ... Ability to gather, organize, analyze, examine or evaluate data or information and may prescribe ...

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All JobsData Analyst R Programming JobsPart Time Data Analyst R Programming JobsPart Time Data Analyst R Programming Jobs in South Carolina

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.

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Part Time Data Analyst R Programming jobs near you
Infographic showing various Part Time Data Analyst R Programming job openings in South Carolina as of June 2026, with employment types broken down into 1% As Needed, 10% Full Time, and 89% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Director of Biostatistics

micro1 AI

Columbia, SC • Remote

$60 - $65/hr

Part-time

Re-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.

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