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Remote Science Jobs in New Rochelle, NY (NOW HIRING)

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Turing

Remote Gastroenteroloist

Manhattan, NY · Remote

$200 - $300/hr

Remote: Fully remote, collaborative environment. About Turing: Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for ...

YO AI Labs

AI Consulting Expert - Remote

New York, NY · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this ...

YO AI Labs

Dutch Bilingual Expert - Remote

New York, NY · Remote

$30 - $65/hr

Remote Job Overview We are seeking Dutch Bilingual Experts to contribute to a global language and AI training project focused on improving Dutch-language understanding and generation. In this role ...

YO AI Labs

Data Scientist Expert - Remote

New York, NY · Remote

Contractor Location: Remote About the Role We are looking for experienced data scientists and ... Evaluate AI outputs across data science, statistics, ML, and quantitative problems. * Create expert ...

YO AI Labs

Dutch Bilingual Expert - Remote

New York, NY · Remote

$30 - $65/hr

Remote Job Overview We are seeking Dutch Bilingual Experts to contribute to a global language and AI training project focused on improving Dutch-language understanding and generation. In this role ...

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Showing results 1-20

All JobsScience JobsRemote Science JobsRemote Science Jobs in New Rochelle, NY

Remote Science information

See New Rochelle, NY salary details

$25.2K

$49.8K

$81.3K

How much do remote science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote science in New Rochelle, NY is $49,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,600.00 and $53,500.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What are the most commonly searched types of Science jobs in New Rochelle, NY?

The most popular types of Science jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Remote Science jobs?

Cities near New Rochelle, NY with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in New Rochelle, NY as of August 2026, with employment types broken down into 11% Internship, 68% Full Time, and 21% Part Time. Highlights an 100% Remote job distribution, with an average salary of $49,797 per year, or $23.9 per hour.

Materials Science Expert - Remote

New York, NY • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

Full-time

Posted 2 days ago

New

Job description

Materials Science Expert

Role Type: Contractor
Location: Global, Fully Remote
Schedule: ~15 hours/week, flexible

About the Role

We're seeking a Materials Science Expert to support an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. You'll solve, validate, and review materials-engineering tasks and create reproducible, programmatic solutions. No prior AI experience is required.

Key Responsibilities
  • Solve and validate computational materials science problems.
  • Build material structures, compositions, and simulation inputs.
  • Run and analyze atomistic, electronic, molecular-dynamics, continuum, or electrochemical simulations.
  • Use Python to automate simulations, parameter sweeps, and data analysis.
  • Analyze mechanical, thermal, electrical, chemical, and structural properties.
  • Diagnose convergence, numerical, modeling, and physical-assumption issues.
  • Compare results with experiments, literature, and expected physical trends.
  • Review AI-generated solutions and develop reliable reference solutions.
Required Skills
  • Materials Science & Engineering
  • Computational Materials Modeling
  • Materials Simulation & Analysis
  • Python
  • Scientific Computing
  • Structure–Property Relationships
  • Numerical Validation & Troubleshooting
  • Technical Problem-Solving
Tools

Experience with tools such as LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM, or equivalent CLI/API-based software. Familiarity with NumPy, SciPy, pandas, Matplotlib, or Jupyter is beneficial.

Qualifications
  • MS/PhD in Materials Science, Metallurgy, or related field; or Mechanical/Chemical Engineering with strong materials specialization.
  • Experience in computational materials modeling, simulation, characterization, or materials R&D.
  • Strong Python and programmatic engineering-tool experience.
  • Ability to explain modeling assumptions, validate results, and distinguish computational errors from physical behavior.