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Remote Nvidia Data Scientist Jobs in Arizona (NOW HIRING)

amphenol

Senior Data Engineer

Mesa, AZ · Remote

$105K - $142K/yr

... remote databases, and other business systems into trusted and actionable information. Company ... Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

EDUCATION And EXPERIENCE Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling ...

YO AI Labs

Medical Writer - Remote

Phoenix, AZ · Remote

$50 - $90/hr

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

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Remote Nvidia Data Scientist information

What is the difference between Remote Nvidia Data Scientist vs Remote Nvidia Machine Learning Engineer?

AspectRemote Nvidia Data ScientistRemote Nvidia Machine Learning Engineer
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with data analysis and visualization toolsAdvanced degree in Computer Science, AI, or related; strong programming and ML framework knowledge
Work EnvironmentData analysis, modeling, and visualization tasks, often collaborating with data teamsDeveloping, deploying, and optimizing machine learning models, often in software development teams
Industry UsageUsed across research, analytics, and data-driven decision-making rolesCommon in AI product development, autonomous systems, and software engineering

The main difference is that Remote Nvidia Data Scientists focus on analyzing data and building statistical models, while Remote Nvidia Machine Learning Engineers develop and implement machine learning algorithms. Both roles require advanced technical skills and often work within the same industry sectors, but their core responsibilities differ in focus and application.

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Remote Nvidia Data Scientist jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Buckeye, 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.

Apply