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Remote Science Communicator Jobs in Illinois (NOW HIRING)

Sales Coordinator

Evanston, IL · Remote

$55K - $70K/yr

Remote, but preferred to be near Waterford, WI. Job Type: Full-time, Remote Key Job ... Communicate pre-installation requirements and ensure customer readiness * Coordinate with service ...

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Able to communicate effectively with both technical and non-technical audiences. Able to translate ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Senior Manager, Data Science

Chicago, IL · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Lead change management and communication efforts associated with analytics initiatives. * Implement ...

Due to the remote nature of this role and associated employment requirements, the company is unable ... Own data science solutions from initial concept and feasibility assessment through production ...

Due to the remote nature of this role and associated employment requirements, the company is unable ... Own data science solutions from initial concept and feasibility assessment through production ...

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... communication and presentation skills are required. This role can have a Hybrid or Remote work ...

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... communication, seamless integration of data-driven solutions. • Monitor model performance in ...

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Remote Science Communicator information

What are some common challenges faced by remote science communicators, and how can they be addressed?

Remote science communicators often face challenges such as effectively engaging audiences without in-person interaction, managing time zones when collaborating with international teams, and ensuring scientific accuracy while making complex topics accessible. To address these challenges, it's important to leverage digital communication tools, establish clear workflows for team collaboration, and continuously update one's knowledge of both science and communication best practices. Networking with other science communicators and seeking feedback on your work can also help you refine your messaging and stay connected to the broader community.

What is the difference between Remote Science Communicator vs Remote Science Writer?

AspectRemote Science CommunicatorRemote Science Writer
CredentialsBackground in science, communication skillsScience knowledge, writing proficiency
Work EnvironmentVideos, presentations, live engagementArticles, reports, blog posts
Employer & IndustryEducational institutions, media, nonprofitsPublishing, media, research organizations
Search & ComparisonOften compared for content creation roles

Remote Science Communicators focus on engaging audiences through multimedia and live formats, emphasizing science education and outreach. Remote Science Writers primarily produce written content like articles and reports. While both roles require science knowledge, communication skills, and remote work experience, their main mediums differ—visual and oral versus written. Understanding these distinctions helps job seekers identify roles aligned with their skills and career goals.

What are Remote Science Communicators?

Remote Science Communicators are professionals who explain scientific concepts, research, and discoveries to a broader audience using digital platforms. They often work from home or any location with internet access, creating written content, videos, podcasts, or social media posts. Their goal is to make complex scientific information accessible and engaging to the public, students, or specific communities. This role requires strong communication skills, a good understanding of science, and proficiency with digital tools for remote work.

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

To thrive as a Remote Science Communicator, you need a solid background in science (often a degree in a relevant field), exceptional writing and verbal communication skills, and experience translating complex concepts for diverse audiences. Familiarity with digital content creation tools, social media platforms, and content management systems is typically required. Creativity, adaptability, and the ability to engage audiences remotely are standout soft skills in this role. These competencies ensure accurate, accessible science communication that informs and inspires the public across digital channels.
What are the most commonly searched types of Science Communicator jobs in Illinois? The most popular types of Science Communicator jobs in Illinois are:
What are popular job titles related to Remote Science Communicator jobs in Illinois? For Remote Science Communicator jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Science Communicator jobs in Illinois look for? The top searched job categories for Remote Science Communicator jobs in Illinois are:
What cities in Illinois are hiring for Remote Science Communicator jobs? Cities in Illinois with the most Remote Science Communicator job openings:
Staff Scientist - Agents for Science

Staff Scientist - Agents for Science

Argonne National Laboratory

Lemont, IL • On-site, Remote

$94K - $147K/yr

Full-time

Posted 13 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.