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Remote Science Jobs in Newark, NJ (NOW HIRING)

Natera

Medical Science Liaison

New York, NY · Remote

We are seeking a Medical Science Liaison (MSL) for our Oncology portfolio to primarily support ... This is a remote, field-based position requiring daily use of a computer and the ability to travel ...

Mercor

Data Science Expert - AI Evaluation

New York, NY · Remote

$120 - $170/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

COMPASS Pathways

HEOR Science Liaison

New York, NY · On-site +1

Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ( Include but are not limited to ): External Scientific Engagement * Identify, cultivate, and maintain peer-to-peer ...

Recursion

Director, Clinical Science

New York, NY · Remote

$212K - $261K/yr

We are seeking a Director-level Clinical Scientist who can oversee all clinical aspects of a ... This is a fully remote opportunity with occasional travel requirements. Travel may be necessary ...

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All JobsScience JobsRemote Science JobsRemote Science Jobs in Newark, NJ

Remote Science information

See Newark, NJ salary details

$25.6K

$50.6K

$82.6K

How much do remote science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote science in Newark, NJ is $50,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $54,400.00 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 environmental consultants. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, with many roles offering flexible schedules and the use of collaboration tools like video conferencing and cloud-based data sharing.

What are the most commonly searched types of Science jobs in Newark, NJ?

The most popular types of Science jobs in Newark, NJ are:

What are popular job titles related to Remote Science jobs in Newark, NJ?

For Remote Science jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Science jobs in Newark, NJ look for?

The top searched job categories for Remote Science jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Remote Science jobs?

Cities near Newark, NJ with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in Newark, NJ as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 22% Part Time, and 5% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $50,604 per year, or $24.3 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

New York, NY • Remote

Part-time

Posted 5 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.