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Remote Science Jobs in Warren, MI (NOW HIRING)

Danaher

Principal Clinical Scientist

Detroit, MI · On-site +1

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Advanced degree in Science, Healthcare, or Regulatory/Clinical Affairs. * Professional ...

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

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All JobsScience JobsRemote Science JobsRemote Science Jobs in Warren, MI

Remote Science information

See Warren, MI salary details

$23K

$45.5K

$74.2K

How much do remote science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote science in Warren, MI is $45,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $48,800.00 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 popular job titles related to Remote Science jobs in Warren, MI?

For Remote Science jobs in Warren, MI, the most frequently searched job titles are:

What job categories do people searching Remote Science jobs in Warren, MI look for?

The top searched job categories for Remote Science jobs in Warren, MI are:

What cities near Warren, MI are hiring for Remote Science jobs?

Cities near Warren, MI with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in Warren, MI as of August 2026, with employment types broken down into 11% Internship, 75% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $45,450 per year, or $21.9 per hour.

Materials Science PhD - Problem Author - AI Trainer

Mercor

Detroit, MI • Remote

$85/hr

Full-time

Posted 20 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: Materials Writer - Engineering FRQ
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Author original, free-response engineering problems in Materials Science & Engineering.
  • Develop expert-level solutions grounded in real industry scenarios.
  • Validate problem difficulty by testing against three frontier language models.
  • Ensure at least one model fails to solve the problems.
  • Work independently and asynchronously to meet deadlines.
  • Collaborate with AI research teams to enhance model training and evaluation.

Qualifications

Must-Have

  • PhD in Materials Science & Engineering, Metallurgy, or a materials-focused Mechanical/Chemical Engineering discipline.
  • 5+ years of professional experience in materials selection, failure analysis, testing, or process development.
  • Experience with well-known/blue-chip employers.

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.


#hiringmercor