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Open Source Intelligence Jobs in Chicago, IL (NOW HIRING)

Dunn Solutions Group

Big Data BI Consultant

Chicago, IL · On-site

Focused on the business intelligence, application development and web/portal spaces, Dunn Solutions ... Experience with open-source technologies and cloud platforms. Experience in big data technologies ...

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Open Source Intelligence information

See Chicago, IL salary details

$52.6K

$101.7K

$151K

How much do open source intelligence jobs pay per year?

As of Sep 7, 2026, the average yearly pay for open source intelligence in Chicago, IL is $101,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $126,800.00 per year, depending on experience, location, and employer.

What is an open source intelligence?

An Open Source Intelligence (OSINT) job involves collecting, analyzing, and interpreting publicly available data to support decision-making in cybersecurity, law enforcement, business, or government operations. OSINT analysts gather information from sources like social media, news articles, public records, and databases to identify threats, trends, or insights. These professionals use various tools and techniques to verify and contextualize data while adhering to ethical and legal guidelines. The role requires strong analytical skills, attention to detail, and knowledge of data privacy laws to ensure responsible use of information.

What are the key skills and qualifications needed to thrive in open source intelligence?

To thrive in Open Source Intelligence (OSINT), you need strong analytical skills, a deep understanding of internet research techniques, and familiarity with information verification, often supported by degrees in fields such as criminal justice, cybersecurity, or intelligence studies. Experience with specialized OSINT tools like Maltego, Recon-ng, and knowledge of data privacy legislation are highly valued, as are certifications such as GIAC Open Source Intelligence (GOSI). Attention to detail, ethical integrity, and effective communication are crucial soft skills for interpreting and reporting findings clearly. These skills are important because they ensure the accurate, lawful, and actionable gathering of data from open sources to support security, investigative, or decision-making objectives.

What are some typical challenges faced by professionals in open source intelligence?

Professionals working in Open Source Intelligence (OSINT) commonly face challenges such as information overload, verifying the credibility of sources, and navigating rapidly evolving digital platforms. They must also stay current with legal and ethical considerations when collecting and analyzing publicly available data. Collaboration with cybersecurity, law enforcement, or intelligence teams is frequent to ensure findings are integrated effectively. Developing efficient research strategies and maintaining a critical mindset are key to overcoming these obstacles and delivering actionable intelligence in a timely manner.

Are there open source intelligence jobs?

Open Source Intelligence (OSINT) jobs involve collecting and analyzing publicly available information for security, research, or investigative purposes. These roles are common in government agencies, private security firms, and consulting companies, often requiring skills in data analysis, research tools, and sometimes certifications like OSINT certifications or security clearances.

How do I get started in Open Source Intelligence?

To start a career in Open Source Intelligence (OSINT), develop skills in research, data analysis, and cybersecurity tools such as Maltego or OSINT frameworks. Gain knowledge of online sources, social media platforms, and legal considerations, and consider certifications like the GIAC Open Source Intelligence Certification (GX0-01) to validate your expertise.

How to get a job in open source intelligence?

To get a job in open source intelligence, candidates should develop skills in data analysis, research, and cybersecurity tools, often through relevant degrees or certifications such as OSINT certifications. Gaining experience with intelligence platforms, programming languages like Python, and understanding legal and ethical considerations can improve employability. Networking within intelligence communities and staying updated on industry trends also help in securing positions in this field.

Is open source intelligence work in demand?

Open source intelligence (OSINT) analysts are in increasing demand across government agencies, private security firms, and corporations due to the need for data collection and analysis from publicly available sources. Skills in research, data analysis, and familiarity with tools like Maltego or OSINT frameworks enhance employability in this growing field.

What are the most commonly searched types of Open Source Intelligence jobs in Chicago, IL?

The most popular types of Open Source Intelligence jobs in Chicago, IL are:

What are popular job titles related to Open Source Intelligence jobs in Chicago, IL?

For Open Source Intelligence jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Open Source Intelligence jobs in Chicago, IL look for?

The top searched job categories for Open Source Intelligence jobs in Chicago, IL are:

Open Source Intelligence jobs near you
Infographic showing various Open Source Intelligence job openings in Chicago, IL as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $101,671 per year, or $48.9 per hour.

Autonomous Infrastructure and Robotic Science Lead

Argonne National Laboratory

Lemont, IL • On-site

Full-time

Re-posted 21 days ago

Job description

The Computing, Environment, and Life Sciences (CELS) Directorate seeks an outstanding scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data infrastructure, and domain science. The candidate will have established expertise across automated and autonomous experimental platforms and AI in addition to leadership of multi-disciplinary research programs and the development of novel research concepts.
The scientist will lead Argonne's Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter experts, who develop hardware and software infrastructure for laboratory autonomy, support autonomous laboratories in domains including chemistry, biology, and quantum science, work with domain scientists to execute autonomous experiments, and advance laboratory autonomy and robotics.
RPL develops the open-source Modular Autonomous Discovery for Science (MADSci) software framework for the orchestration of autonomous laboratories in addition to software infrastructure supporting the operation, training, and execution of robotic workflows. The scientist would be responsible for directing activities towards the advancement of these internal capabilities in addition to the support and development of collaborations across Argonne and beyond.
Focus Areas (expertise in one or more is highly desirable):
  • Autonomous laboratories for chemistry, materials, biology, etc.
  • AI/ML for predictive modeling and inverse design
  • Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery
  • Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research
  • Digital twins and simulation-augmented AI tools

Key Responsibilities:
  • Evaluate the performance of assigned staff; recommends professional development, salary actions, and promotions
  • Play a key role in the recruitment and selection of high-quality staff
  • Report on research progress and new initiatives to division management, review committees, and funding agencies
  • Provide supervisory oversight including developing, motivating, and leading a team of professionals
  • Guide the development of infrastructure for laboratory autonomy including physical autonomous laboratories, robotics laboratories, and software frameworks for autonomous science and robotics
  • Facilitate collaborations between the RPL and teams at partner institutions developing autonomous science and robotics infrastructure
  • Guide the RPL team towards the advancement of laboratory autonomy and robotics
  • Publish in refereed journals and present at conferences, symposia, and seminars
  • Provide work direction, supervisory oversight, and mentorship, including development and motivation, to postdoctoral appointees, research assistants, students, and professional technical staff
  • Execute all activities in compliance with Argonne's ES&H policies, Safeguards and Security policies, work rules, and safe practices

About Argonne and the Rapid Prototyping Lab:
  • Argonne National Laboratory is a U.S. Department of Energy multidisciplinary science and engineering research center, operated by UChicago Argonne, LLC. Argonne tackles the largest scientific and engineering challenges of our time, from clean energy and advanced materials to artificial intelligence and quantum information science.
  • The Rapid Prototyping Lab (RPL), in the Data Science and Learning division, develops integrated hardware and software solutions to accelerate scientific discovery through robotics and AI. RPL serves as a software and robotics hub where scientists collaborate, train the next-generation autonomous-discovery workforce, and develop open-source infrastructure for self-driving labs. RPL projects span new materials for energy storage, discovery of antimicrobial compounds, isotope production for medical applications, and more.
  • MADSci is RPL's flagship open-source software ecosystem and a core enabling technology for Argonne's broader Autonomous Discovery initiative, which aims to transform laboratory science by combining robotics, AI, and simulation to design, execute, and learn from experiments at unprecedented scale.

For more information:
  • Rapid Prototyping Lab: https://rpl.cels.anl.gov/
  • Autonomous Discovery at Argonne: https://www.anl.gov/autonomous-discovery
  • MADSci on GitHub: https://github.com/AD-SDL/MADSci
  • AD-SDL organization on GitHub: https://github.com/AD-SDL

Position Requirements
  • Minimum of a Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field and 4+ years of experience, or equivalent
  • Proven research track record in deploying automated and autonomous platforms and AI/ML towards accelerating science
  • Demonstrated ability to formulate scientific problems relevant to the DOE portfolio
  • Strong oral and written communication skills, with the ability to work effectively with internal and external collaborators to achieve established goals
  • Demonstrated ability to collaborate in a multidisciplinary environment and provide scientific guidance to a diverse research community
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork
  • Preferred experience leading and/or managing others from students to professional staff

Submit the following materials as attachments to your application:
  • Cover letter detailing how your experience and expertise align with and will contribute to this position
  • Curriculum vitae with publication list and contact information for three professional references
  • 1-page research statement outlining proposed research directions

Job Family
Research Development (RD)
Job Profile
Computational Science Leader 1
Worker Type
Regular
Time Type
Full time
The expected hiring range for this position is $148,125.00 - $231,075.00.
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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