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Remote Science Jobs (NOW HIRING)

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

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Remote Science information

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$24.5K

$48.4K

$79K

How much do remote science jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

Remote science-related roles such as freelance data scientists, scientific consultants, or specialized research analysts can earn $10,000 or more per month without a formal degree, often by leveraging skills in programming, data analysis, and scientific tools. Success in these roles typically depends on experience, portfolio, and expertise rather than formal education alone.

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 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.

Can you work remotely as a scientist?

Remote science jobs are available in various fields such as research, data analysis, and laboratory management, often requiring strong computer skills and familiarity with digital collaboration tools. Many organizations offer remote positions, but some roles may require on-site presence for experiments or equipment use. Job requirements vary depending on the specific scientific discipline and employer policies.

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.

How can I make $100,000 a year working from home?

Remote science roles such as data scientists, research analysts, or scientific consultants can reach a $100,000 annual salary with advanced degrees, specialized skills, and experience. Building expertise in programming, statistical tools, and industry-specific knowledge, along with a strong professional network, can help achieve this income level while working remotely.

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.

Are there remote science jobs?

Yes, remote science jobs are available across various fields such as research, data analysis, and laboratory work. These roles often require strong technical skills, relevant certifications, and the ability to work independently in a virtual environment.
More about Remote Science jobs
What cities are hiring for Remote Science jobs? Cities with the most Remote Science job openings:
What are the most commonly searched types of Science jobs? The most popular types of Science jobs are:
What states have the most Remote Science jobs? States with the most job openings for Remote Science jobs include:
Infographic showing various Remote Science job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Staff Scientist - Agents for Science

Staff Scientist - Agents for Science

Argonne National Laboratory

Lemont, IL • On-site, Remote

$94K - $147K/yr

Full-time

Posted 28 days ago


Job description

TheArgonne Leadership Computing Facility (ALCF) is seeking a Staff Scientist - Agents for Science to help pioneer AI systems that can reason, plan, act, and collaborate in support of scientific discovery. AI for science is entering a new phase. Beyond models that analyze data or make predictions, there is growing opportunity to develop agentic AI systems that can interact with scientific data, simulations, instruments, workflows, and knowledge sources in more adaptive and autonomous ways. At ALCF, we are exploring how such systems can help scientists formulate hypotheses, design experiments, navigate complex data, coordinate computational workflows, and accelerate discovery across disciplines.

This role is an opportunity to work at the frontier ofagentic AI, foundation models, scientific workflows, and high-performance computing, and contribute to the Department of Energy's Genesis mission. We are looking for a creative and collaborative staff scientist/engineer who wants to develop novel methods and systems for AI agents in scientific environments and deploy them at the scale required by real scientific challenges. You will join the AI group-a highly collaborative, multidisciplinary environment and work alongside experts in AI, simulation, computer science, applied mathematics, and domain science.

Your work may include:

  • Designing and developingagentic AI systemsfor scientific discovery, including systems that can reason, plan, retrieve information, invoke tools, and execute multi-step scientific tasks
  • Developing agents that can interact withsimulation workflows, data pipelines, scientific software, instruments, knowledge bases, and computational tools
  • Building methods for tool use, workflow orchestration, memory, planning, adaptation, and decision-making in scientific environments
  • Evaluating agent performance in terms of scientific usefulness, reliability, robustness, efficiency, and safety
  • Conduct research and development aligned with Argonne's strategic mission in computation, AI, and scientific discovery.
  • Contribute to a team culture that values scientific excellence, collaboration, innovation, and inclusive professional growth.

This position qualifies as "Hybrid Remote Work - Mostly Onsite": which applies to employees regularly scheduled for some onsite and some remote days, with employees typically working up to 40% of their time remotely.

Position Requirements

Required Qualifications:

  • RD2: Bachelor's degree and 5+ years of experience, or Master's degree and 3+ years of experience, or PhD and 0+ years of experience, or equivalent
  • Educational background incomputer science, machine learning, artificial intelligence, computational science, applied mathematics, or a related field, PhD preferred
  • Experience withreinforcement learning, planning, or sequential decision-making
  • Strong programming skills in one or more languages such asPython, C, C++
  • Experience with one or more AI frameworks such as PyTorch, JAX, or related tools
  • Experience designing, implementing, and evaluating complex AI systems
  • Good communication skills, both verbal and written.
  • Ability to model Argonne's core values ofimpact, safety, respect, integrity, and teamwork
Preferred Qualifications:
  • Experience withLLM-based systems, retrieval-augmented generation, tool calling, or workflow agents
  • Experience integrating AI systems withscientific software, simulations, databases, or experimental workflows
  • Experience withdistributed training, inference systems, or HPC environments

Job Family

Research Development (RD)

Job Profile

Computer Science 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.