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Remote Data Scientist Intern Jobs in Arizona (NOW HIRING)

micro1 AI

Digital Chemistry Specialist - Remote

Yuma, AZ · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

micro1 AI

Digital Chemistry Specialist - Remote

Mesa, AZ · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

  • Medical

  • Dental

  • Vision

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

  • Medical

  • Dental

  • Vision

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

micro1 AI

AI Training Specialist - Life Sciences

Yuma, AZ · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

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Remote Data Scientist Intern information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do remote data scientist intern jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data scientist intern in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a remote data scientist intern?

A Remote Data Scientist Intern is a temporary, entry-level role where you assist in data analysis, machine learning, and statistical modeling while working remotely. You’ll clean and process data, build predictive models, and generate insights to support business decisions. Interns typically use programming languages like Python or R, along with tools like SQL and cloud platforms. This role provides hands-on experience in data science while offering flexibility to work from anywhere.

What types of projects or tasks can I expect as a remote data scientist intern?

As a Remote Data Scientist Intern, you can typically expect to work on real-world data analysis projects, such as cleaning and organizing datasets, building predictive models, and creating visualizations to support business decisions. You may also assist with research, exploratory data analysis, and automating routine data processing tasks using programming tools. Collaboration is usually done through virtual meetings, code repositories, and project management platforms, where you'll interact with data scientists, engineers, and business stakeholders. This hands-on experience helps build both your technical and communication skills within a remote, team-oriented environment.

What are the key skills and qualifications needed to thrive as a remote data scientist intern?

To thrive as a Remote Data Scientist Intern, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often gained through coursework or relevant projects. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), version control systems like Git, and data visualization tools such as Tableau or matplotlib is highly valued. Strong communication, self-motivation, and time management are essential soft skills, especially when working remotely. These skills help interns efficiently analyze data, contribute to team projects, and adapt to the collaborative, fast-paced nature of remote data science work.

What are the most commonly searched types of Remote Data Scientist jobs in Arizona?

The most popular types of Remote Data Scientist jobs in Arizona are:

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For Remote Data Scientist Intern jobs in Arizona, the most frequently searched job titles are:

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Remote Data Scientist Intern jobs near you
Infographic showing various Remote Data Scientist Intern job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Phoenix, AZ • Remote

$90 - $120/hr

Part-time

Posted 17 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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