2

Remote Science Jobs in Newark, NJ (NOW HIRING)

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts. * Build analytics ...

Medical Writer - Remote

New York, NY ยท Remote

$50 - $80/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 ...

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 ...

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 ...

Showing results 41-60

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

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

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.

Enterprise Data Science Specialist

Mercor

New York, NY โ€ข Remote

$60 - $70/hr

Full-time

Posted 8 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science and Analytics Experts
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts.
  • Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale.
  • Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow.
  • Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights.
  • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.

Qualifications

Must-Have

  • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
  • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
  • Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance and privacy compliance.

Preferred

  • Prior rubric, technical curriculum, or model documentation authorship.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.