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Remote Materials Informatics Scientist Jobs in New York

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote work arrangements will not be accommodated for this role.YOUR TASKS AND RESPONSIBILITIES ... Minimum of a Master's Degree in Statistics, Mathematics, Informatics, Computer Sciences, ML Ops ...

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Minimum of a Master's Degree in Statistics, Mathematics, Informatics, Computer Sciences, ML Ops ...

Data Science Tutor

Yonkers, NY · Remote

$18 - $40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Data Science Tutor

Clifton, NJ · Remote

$18 - $40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Data Science Tutor

Glen Cove, NY · Remote

$18 - $40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Data Science Tutor

Paterson, NJ · Remote

$18 - $40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Data Science Tutor

Westfield, NJ · Remote

$18 - $40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

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Showing results 1-20

Remote Materials Informatics Scientist information

What is the difference between Remote Materials Informatics Scientist vs Remote Materials Data Analyst?

AspectRemote Materials Informatics ScientistRemote Materials Data Analyst
Required CredentialsAdvanced degree in materials science, informatics, or related field; knowledge of data science and programmingBachelor's or master's in materials science, data analysis, or related field; proficiency in data tools
Work EnvironmentResearch-focused, interdisciplinary teams, often in R&D settingsData-driven roles within manufacturing, quality control, or research teams
Employer & Industry UsageUsed in R&D labs, tech companies, and materials innovation firmsCommon in manufacturing, quality assurance, and analytics departments

The Remote Materials Informatics Scientist focuses on developing models and algorithms to analyze materials data, often requiring advanced degrees and research experience. In contrast, the Remote Materials Data Analyst primarily interprets existing data to support decision-making, typically with a bachelor's or master's degree. Both roles are vital in materials industries but differ in scope, responsibilities, and required expertise.

What are the most commonly searched types of Materials Informatics Scientist jobs in New York? The most popular types of Materials Informatics Scientist jobs in New York are:
What job categories do people searching Remote Materials Informatics Scientist jobs in New York look for? The top searched job categories for Remote Materials Informatics Scientist jobs in New York are:
What cities in New York are hiring for Remote Materials Informatics Scientist jobs? Cities in New York with the most Remote Materials Informatics Scientist job openings:

Remote | Materials Engineer - Up to $80/hour

24-Mag Llc

Manhattan, NY • On-site, Remote

$80/hr

Contractor

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


Job description

About the job Remote | Materials Engineer - Up to $80/hour
We are sharing a specialised consulting opportunity for senior materials engineering professionals with doctoral-level expertise and substantial industry experience in materials selection, failure analysis, testing, or process development.
This role supports an advanced AI research initiative focused on creating challenging, expert-level engineering problems grounded in realistic industry scenarios. Selected professionals will author original free-response materials engineering questions, develop complete technical solutions, and evaluate their difficulty against frontier AI models.
Key Responsibilities
Engineering Problem Development

  • Author original, technically rigorous free-response problems in materials engineering
  • Develop questions based on realistic industrial and engineering scenarios
  • Design problems that require advanced reasoning rather than straightforward textbook recall
  • Incorporate practical constraints, engineering trade-offs, and professional judgment
Materials Engineering Analysis
  • Develop problems involving areas such as materials selection, failure analysis, testing, and process development
  • Apply advanced knowledge of materials science, metallurgy, and engineering behaviour
  • Incorporate relevant mechanical, chemical, thermal, structural, or manufacturing considerations
  • Ensure technical assumptions and problem conditions are realistic and internally consistent
Expert Solution Writing
  • Produce complete expert-level solutions for each authored problem
  • Clearly document calculations, reasoning, assumptions, and engineering methodology
  • Ensure solutions are technically rigorous and independently verifiable
  • Explain relevant materials behaviour and engineering decisions with appropriate depth
AI Difficulty Validation
  • Evaluate each problem using multiple frontier language models
  • Assess whether current AI systems can correctly solve the problem
  • Refine questions where necessary to maintain an appropriately demanding level of difficulty
  • Document model errors, reasoning failures, or incomplete technical approaches
  • Validate that each problem meaningfully tests advanced materials engineering reasoning
Ideal Profile Strong candidates may have:
  • A PhD in Materials Science & Engineering, Metallurgy, or a materials-focused Mechanical or Chemical Engineering discipline
  • At least 5 years of hands-on professional or industry experience
  • Substantial expertise in materials selection, failure analysis, materials testing, or process development
  • Strong understanding of practical engineering workflows and industry constraints
  • Ability to formulate complex technical problems requiring multi-step reasoning
  • Excellent technical writing and analytical communication skills
  • Experience translating real engineering challenges into structured technical problems
Educational Background
  • PhD in Materials Science & Engineering, Metallurgy, or a closely related materials-focused engineering discipline is required
  • Materials-focused doctoral training within Mechanical Engineering or Chemical Engineering may also qualify
  • Strong academic foundations combined with substantial practical industry experience are particularly important for this engagement
Nice to Have
  • Experience within a major industrial, manufacturing, aerospace, automotive, energy, technology, or engineering organisation
  • Advanced expertise in materials characterisation or testing
  • Experience conducting root-cause or failure analysis
  • Background in process development or manufacturing engineering
  • Experience selecting materials for demanding performance or reliability requirements
  • Prior experience authoring technical assessments, engineering problems, or training materials
  • Familiarity with AI models or structured technical evaluation
Why This Opportunity
  • Apply advanced materials engineering expertise to challenging AI research
  • Create original problems based on realistic engineering practice
  • Work on technical questions specifically designed to test sophisticated reasoning
  • Combine industry experience with rigorous engineering problem-solving
  • Help identify limitations in current frontier AI systems
  • Participate in flexible remote consulting work with competitive compensation
Contract Details
  • Independent contractor role
  • Fully remote with flexible scheduling
  • Compensation of up to $80 per hour depending on expertise and project scope
  • Work may include engineering problem authoring, expert solution development, technical validation, and AI model evaluation
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution
About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.