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Remote Hybrid Science Jobs in Chicago, IL (NOW HIRING)

Centene

Provider Performance Manager

Burr Ridge, IL · On-site +1

$56K - $101K/yr

Bachelor's Degree in Nursing, Medicine, or Health Sciences required. Master's Degree in Nursing ... with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an ...

Centene

Provider Performance Manager

Burr Ridge, IL · On-site +1

$56K - $101K/yr

Bachelor's Degree in Nursing, Medicine, or Health Sciences required. Master's Degree in Nursing ... with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an ...

Benda Infotech

Cybersecurity Analyst

Chicago, IL · On-site +1

$65K - $80K/yr

Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Information Systems ... Primarily office-based or remote/hybrid work environment * Occasional after-hours support during ...

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

... to remote, hybrid, or onsite candidates. Hiring Process - Target start dates are still being ... This role will work cross-functionally with various data science teams, data engineering teams, and ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Data Scientist $139,818.00 - $144,818.00 per year Ability to follow Edelman's hybrid in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required. An employee ...

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Remote Hybrid Science information

See Chicago, IL salary details

$12

$63

$90

How much do remote hybrid science jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote hybrid science in Chicago, IL is $63.98, according to ZipRecruiter salary data. Most workers in this role earn between $54.95 and $72.79 per hour, depending on experience, location, and employer.

What is a remote hybrid science?

A Remote Hybrid Science job typically involves working in a scientific field, such as biology, chemistry, or environmental science, with a combination of remote (work-from-home) and in-person responsibilities. This hybrid model allows employees to perform data analysis, research, and reporting from home, while occasionally attending on-site meetings, lab work, or fieldwork as needed. The flexibility of this setup provides a balance between independent work and hands-on scientific tasks, making it an increasingly popular choice for both employers and professionals in the science sector.

What are the key skills and qualifications needed to thrive as a remote hybrid scientist?

To thrive as a Remote Hybrid Scientist, you typically need a strong background in scientific research, data analysis, and a relevant degree (such as biology, chemistry, or physics). Familiarity with virtual collaboration tools (like Zoom, Slack), laboratory information management systems (LIMS), and data analysis software (such as R or Python) is essential. Excellent communication, time management, and self-motivation are crucial soft skills for managing remote and in-person work. These abilities ensure effective research outcomes, seamless collaboration, and productivity in flexible work environments.

How does a remote hybrid science role typically balance in-person and remote work, and what impact does this have on collaboration with the team?

A Remote Hybrid Science role usually involves a combination of remote work—such as data analysis, report writing, and virtual meetings—and on-site tasks like laboratory experiments or equipment maintenance. This structure allows flexibility but also requires strong communication skills to ensure seamless collaboration with colleagues who may be working from different locations. Regular check-ins, digital project management tools, and scheduled on-site days help maintain team cohesion and project progress. Adapting to this hybrid model can be a challenge initially, but it often leads to a more adaptable and resilient work environment.

What is the difference between Remote Hybrid Science vs Remote Hybrid Data Analyst?

AspectRemote Hybrid ScienceRemote Hybrid Data Analyst
Required CredentialsScience degrees, certifications in research or laboratory techniquesStatistics, data analysis, and software certifications
Work EnvironmentLaboratories, research facilities, or field sites with remote data reviewOffice or home-based with data visualization and analysis tools
Industry UsageResearch institutions, healthcare, environmental agenciesBusiness, finance, marketing, healthcare analytics

Remote Hybrid Science involves research, experiments, and laboratory work combined with remote data management, often in scientific or healthcare fields. Remote Hybrid Data Analyst focuses on analyzing data sets remotely, using statistical tools. While both roles may require similar remote work setups, their core functions and industry applications differ significantly.

What are popular job titles related to Remote Hybrid Science jobs in Chicago, IL?

For Remote Hybrid Science jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Hybrid Science jobs in Chicago, IL look for?

The top searched job categories for Remote Hybrid Science jobs in Chicago, IL are:

Remote Hybrid Science jobs near you

Staff Scientist - Agents for Science

Lemont, IL • On-site, Remote

Argonne National Laboratory
Scientific Research and Development Services • 1 - 5K employees
Learn more about Argonne National Laboratoryexternal

$94K - $147K/yr

Full-time

Re-posted 29 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.

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