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Data Science R Jobs in Phoenix, AZ (NOW HIRING)

JobRx, Inc.

Medical Science Liaison

Phoenix, AZ · On-site

$175 - $187.50/hr

You'll contribute cutting-edge clinical and scientific data to help move healthcare forward and ... W o r k H e r e M a t t e r s E v e r y w h e r e | How are you inspired to change lives? Syneos ...

micro1 AI

Digital Chemistry Specialist - Remote

Tempe, AZ · Remote

$90 - $120/hr

... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

micro1 AI

Digital Chemistry Specialist - Remote

Mesa, AZ · Remote

$90 - $120/hr

... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Synergie Systems

Entry Level Data Analyst

Phoenix, AZ · On-site

... Science, Information Systems, Economics, or a related field. · 1-3 years of experience in a Data ... Technical Skills: · SQL · Microsoft Excel · Power BI / Tableau / Looker · Python or R ...

Orbotech

Aftermarket Business Data Analyst

Chandler, AZ · On-site

$77K - $132K/yr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world ...

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All JobsData Science R JobsData Science R Jobs in Phoenix, AZ

Data Science R information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do data science r jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science r in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are popular job titles related to Data Science R jobs in Phoenix, AZ?

For Data Science R jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Phoenix, AZ look for?

The top searched job categories for Data Science R jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Science R jobs?

Cities near Phoenix, AZ with the most Data Science R job openings:

Data Science R jobs near you
Infographic showing various Data Science R job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Chandler, AZ • Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. 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. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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