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Remote Science Jobs in Glenview, IL (NOW HIRING)

Remote * Commitment : 10-40 hours/week What You'll Do * Review and evaluate AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness for healthcare professional ...

This is a fully remote, flexible contract role built for experienced clinical researchers who want to work at the intersection of science and frontier AI. No AI background required - just deep ...

This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Data Science Intern

Chicago, IL · On-site +1

$1.20K/wk

... remote) - A closing conversation with our CEO. About Our Founders * Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple ...

Senior DevOps Engineer

Chicago, IL · Remote

$133.90K - $172K/yr

USA - Remote Additional Locations Pay Range: 89,600.00 - 153,600.00 USD Annual About Integral Ad Science: Integral Ad Science (IAS) is a leading global media measurement and optimization platform ...

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Showing results 1-20

Remote Science information

See Glenview, IL salary details

$24.2K

$47.7K

$77.9K

How much do remote science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote science in Glenview, IL is $47,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $51,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Science professional, and why are they important?

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 some 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 are remote science jobs?

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 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 job categories do people searching Remote Science jobs in Glenview, IL look for? The top searched job categories for Remote Science jobs in Glenview, IL are:
What cities near Glenview, IL are hiring for Remote Science jobs? Cities near Glenview, IL with the most Remote Science job openings:
Infographic showing various Remote Science job openings in Glenview, IL as of May 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 50% Physical, 3% Hybrid, and 47% Remote job distribution, with an average salary of $47,729 per year, or $22.9 per hour.

Medical Science Liaison (MSL)

Alignerr

Chicago, IL • Remote

Full-time

Posted 15 days ago


Job description

Medical Science Liaison (MSL) - AI Training
About the Role
Your clinical knowledge is more valuable than ever - not just in the field, but in shaping how AI understands medicine. We're looking for experienced Medical Science Liaisons and medical affairs professionals to help evaluate, validate, and improve AI systems being trained on biomedical and clinical content.
This is a unique opportunity to apply your scientific expertise in a new frontier: ensuring that AI gets the medicine right.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
  • What You'll Do
    • Review and evaluate AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness for healthcare professional audiences
    • Interpret clinical trial data, research publications, and regulatory materials to assess whether AI outputs reflect current evidence and standards
    • Identify scientific errors, misleading claims, or gaps in medical reasoning within AI responses
    • Validate scientific narratives and ensure AI-generated content meets the standards expected in medical affairs and HCP communications
    • Provide structured, expert feedback to improve AI model quality across biomedical datasets
    • Apply your field-based MSL experience to assess how well AI communicates complex science to clinical audiences
    Who You Are
    • Background in medical affairs, clinical research, or scientific communications with hands-on experience engaging healthcare professionals
    • Strong ability to critically interpret clinical data, journal publications, and regulatory documents
    • Experience in a field-facing medical role - MSL, clinical educator, scientific advisor, or similar
    • Clear, precise written communication skills when translating complex science for diverse audiences
    • Self-motivated and comfortable working independently on asynchronous, task-based assignments
    Nice to Have
    • Prior experience with data annotation, content evaluation, or quality review systems
    • Familiarity with AI tools or AI-generated content workflows
    • Advanced degree (MD, PharmD, PhD) in a biomedical or life science discipline
    • Therapeutic area expertise in oncology, rare disease, immunology, or other specialty fields
    Why Join Us
    • Work on cutting-edge AI projects at the intersection of life sciences and artificial intelligence
    • Fully remote and flexible - work on your own schedule, on your own terms
    • Freelance perks: autonomy, variety, and collaboration with a global expert community
    • Contribute meaningful scientific oversight to AI systems that will impact how medicine is communicated worldwide
    • Potential for ongoing work and contract extension as projects grow