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Remote Data Analyst Ai Jobs in Utah (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Provo, UT · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

micro1 AI

Digital Chemistry Specialist - Remote

Provo, UT · Remote

$90 - $120/hr

... in AI is required -- your domain knowledge is what matters. Scope of Work * Analyze complex ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

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Remote Data Analyst Ai information

What is a remote data analyst AI?

Remote Data Analyst AI jobs involve analyzing large datasets to extract actionable insights, often by applying artificial intelligence and machine learning techniques. These professionals work from home or any remote location, using specialized software to process, visualize, and interpret data trends. They collaborate with businesses to solve complex problems, forecast outcomes, and support data-driven decision-making. Strong analytical, programming, and communication skills are essential for success in this role.

How does a remote data analyst AI typically collaborate with cross-functional teams while working remotely?

As a Remote Data Analyst AI, you will frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings and shared digital platforms. Effective communication is essential, as much of your work involves translating complex data insights into actionable recommendations for team members in different locations. You'll often use collaboration tools like Slack, project management software, and cloud-based data dashboards to share findings and coordinate tasks. Building strong working relationships virtually can be a challenge, but regular check-ins and clear documentation help ensure alignment and successful project outcomes.

What are the key skills and qualifications needed to thrive as a remote data analyst AI, and why are they important?

To thrive as a Remote Data Analyst AI, you need strong analytical skills, expertise in statistics, and proficiency with data analysis, typically backed by a degree in a quantitative field. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools such as Tableau or Power BI is commonly required. Outstanding problem-solving, attention to detail, and effective communication are vital soft skills for collaborating remotely and presenting insights clearly. These skills and qualifications are important to accurately interpret data, drive actionable recommendations, and succeed in a fast-evolving, distributed work environment.

What is the difference between Remote Data Analyst Ai vs Remote Data Scientist?

AspectRemote Data Analyst AiRemote Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Google Data AnalyticsBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentRemote, often in analytics teams within various industriesRemote or hybrid, working on complex models and research in tech, finance, healthcare
Employer & Industry UsageBusiness, marketing, finance, healthcare companiesTech firms, research institutions, finance, healthcare
Common Search & ComparisonYesYes

Remote Data Analyst Ai focuses on analyzing data using AI tools to generate insights, often with a focus on business intelligence. Remote Data Scientist involves developing complex models and algorithms to solve advanced problems. While both roles require similar educational backgrounds and work environments, Data Scientists typically handle more technical, research-oriented tasks compared to Data Analysts.

What are the most commonly searched types of Data Analyst Ai jobs in Utah?

The most popular types of Data Analyst Ai jobs in Utah are:

What are popular job titles related to Remote Data Analyst Ai jobs in Utah?

For Remote Data Analyst Ai jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Ai jobs in Utah look for?

The top searched job categories for Remote Data Analyst Ai jobs in Utah are:

What cities in Utah are hiring for Remote Data Analyst Ai jobs?

Cities in Utah with the most Remote Data Analyst Ai job openings:

Remote Data Analyst Ai jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Salt Lake City, UT • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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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