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Part Time Data Analyst R Programming Jobs in Tucson, AZ

micro1 AI

Director of Biostatistics

Tucson, AZ · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Varsity Tutors

AP Chemistry Tutor

Tucson, AZ · Remote

$40/hr

... data analysis. Emphasizes particulate-level reasoning and mathematical problem-solving, connecting chemistry to pharmaceutical development, environmental science, and materials engineering.

micro1 AI

Biostatistician

Tucson, AZ · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Varsity Tutors

Organic Chemistry Tutor

Tucson, AZ · Remote

$40/hr

Deep knowledge of IUPAC nomenclature, functional groups, stereochemistry (chirality, R/S ... from spectral data, multi-step synthesis planning, and stereochemical analysis. Emphasizes ...

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All JobsData Analyst R Programming JobsPart Time Data Analyst R Programming JobsPart Time Data Analyst R Programming Jobs in Tucson, AZ

Part Time Data Analyst R Programming information

See Tucson, AZ salary details

$32.1K

$78.1K

$128.6K

How much do part time data analyst r programming jobs pay per year?

As of Sep 10, 2026, the average yearly pay for part time data analyst r programming in Tucson, AZ is $78,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,700.00 per year, depending on experience, location, and employer.

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.

What are the most commonly searched types of Data Analyst R Programming jobs in Tucson, AZ?

The most popular types of Data Analyst R Programming jobs in Tucson, AZ are:

What are popular job titles related to Part Time Data Analyst R Programming jobs in Tucson, AZ?

For Part Time Data Analyst R Programming jobs in Tucson, AZ, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst R Programming jobs in Tucson, AZ look for?

The top searched job categories for Part Time Data Analyst R Programming jobs in Tucson, AZ are:

Part Time Data Analyst R Programming jobs near you
Infographic showing various Part Time Data Analyst R Programming job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $78,134 per year, or $37.6 per hour.

Director of Biostatistics

Tucson, AZ • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$60 - $100/hr

Part-time

Re-posted 4 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. 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. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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