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Imaging Science Jobs in Missouri (NOW HIRING)

Washington University of St. Louis

More About This Job The Mallinckrodt Institute of Radiology (MIR) is a global leader in imaging science, molecular imaging, and radiopharmaceutical development. Department produces a significant ...

Washington University of St. Louis

... Imaging Sciences and AI Research and Founding Director of the Center for Computational and AI-enabled Imaging Sciences (C2AIS). This individual will provide high-level leadership for the ...

Washington University of St. Louis

LOUIS, MO 63110 Scheduled Hours 40 Position Summary The Project/Program Coordinator will serve as the primary administrative and operational lead supporting the Vice Chair of Imaging Sciences and AI ...

Tulk LLC

GEOINT Imagery Analysis SME Mid

Saint Louis, MO · On-site

$100K - $130K/yr

Background in imagery analysis, imaging science, SAR, OPIR, TIR, spectral imagery, FMV, motion imagery, mensuration, or related GEOINT sensor applications. Best fit You are an imagery or GEOINT ...

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Imaging Science information

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$29.5K

$70K

$102.2K

How much do imaging science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for imaging science in Missouri is $69,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $78,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in imaging science, and how can they be addressed?

Imaging Science professionals often encounter challenges such as managing large datasets, adapting to rapidly evolving imaging technologies, and ensuring accurate image analysis. Staying current with software updates and industry best practices is essential, as is collaborating closely with multidisciplinary teams, including engineers, physicians, and IT specialists. Continuous learning and proactive communication help address these challenges, enabling Imaging Scientists to deliver precise results and drive innovation in their field.

What can you do with an imaging science degree?

An imaging science degree prepares individuals for careers in fields such as medical imaging, remote sensing, and industrial inspection, where skills in image processing, analysis, and technology are essential. Graduates can work as imaging specialists, researchers, or technicians using tools like MRI, CT, or digital imaging software, often requiring knowledge of physics, computer science, and certification in relevant imaging techniques.

What does an imaging science do?

Imaging science involves developing and applying techniques to capture, analyze, and interpret images across various fields such as medical imaging, remote sensing, and industrial inspection. Professionals in this field often work with imaging hardware, software, and data analysis tools to improve image quality and extract meaningful information. Strong knowledge of optics, signal processing, and relevant certifications are common requirements.

What is imaging science?

Imaging science is the study and application of techniques to capture, process, analyze, and interpret images. It combines principles from physics, mathematics, computer science, and engineering to develop and improve technologies like cameras, medical scanners, remote sensing systems, and image processing software. Imaging scientists work in a variety of fields, including healthcare, astronomy, forensics, and industrial inspection. Their work enables advancements in diagnostics, surveillance, scientific research, and digital media.

What is the difference between Imaging Science vs Medical Imaging Technologist?

AspectImaging ScienceMedical Imaging Technologist
Required CredentialsTypically requires a degree in imaging science, radiologic technology, or related field; certifications varyRequires an associate's or bachelor's degree in radiologic technology; certification from ARRT often needed
Work EnvironmentResearch labs, imaging equipment development, industry settingsHospitals, clinics, diagnostic centers
Employer & Industry UsageResearch institutions, medical device companies, industryHealthcare facilities, diagnostic imaging centers

Imaging Science focuses on developing and improving imaging technologies, often in research or industry settings, while Medical Imaging Technologists operate imaging equipment directly to diagnose patients. Both roles require specialized training but differ in work environment and primary responsibilities.

What are the key skills and qualifications needed to thrive as an imaging scientist?

To thrive as an Imaging Scientist, you need a strong background in physics, mathematics, and computer science, typically with an advanced degree in imaging science or a related field. Familiarity with image processing software (such as MATLAB or Python), imaging modalities (like MRI, CT, or microscopy), and relevant certifications are commonly expected. Strong analytical thinking, problem-solving abilities, and effective collaboration skills distinguish top performers in this role. Mastery of these skills enables accurate image analysis and innovation in imaging technologies, which are critical for advancements in research, healthcare, and industry.
Imaging Science jobs near you
Infographic showing various Imaging Science job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 20% Part Time, and 5% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $69,953 per year, or $33.6 per hour.

Faculty in Statistics and Data Science- Open Rank

Washington University in St Louis Danforth Campus

Saint Louis, MO • On-site

Full-time

Posted 5 days ago

Job description

Description
The Department of Statistics and Data Science at Washington University in St. Louis has multiple openings for tenure-track positions at the rank of Assistant, Associate, or Full Professor, to begin in 2027, with particular interest in candidates who advance the university's broader +AI initiative. The department supports foundational research as well as transdisciplinary research. Successful candidates will join a rich intellectual community of AI practitioners and subject matter experts utilizing AI methods to solve society's greatest challenges.
We invite applications from candidates with expertise and interest in statistics and data science, broadly defined. We are especially interested in candidates whose research advances one or more of the four thematic areas of WashU's +AI initiative:
  • AI for Science and Engineering: Modeling the Physical World. Fundamental AI and computational methodology that advances modeling, simulating, and reasoning about physical systems. This includes physical AI coupled with domain knowledge (climate, materials, digital twins) and AI-accelerated scientific discovery (structural biology, astrophysics, quantum systems). We particularly welcome scholars who can leverage AI to bridge information across temporal and spatial scales.

  • AI-Driven Imaging Science: Imaging from Molecules to the Universe. Advancement of foundation models, generative modeling, and inverse problem methods across scales from the biomedical to the geophysical, with applications spanning biomedical sensing, biodiversity and environmental monitoring, the built environment, and population health and food security.

  • Agentic AI: Governance, Society, and Institutions. Modeling how AI agents behave at scale in complex social and economic systems, including multi-agent dynamics, organizational adaptation to agentic systems, and the reshaping of labor, decision-making, and accountability in complex institutions. We welcome applications that engage high-stakes contexts leveraging existing WashU strengths, such as population health, democracy, or biotechnology.

  • Human Values, Creative Practice, and AI. Statistical and computational foundations of generative AI systems, and quantitative approaches to studying human interaction with AI, including questions of authorship, creativity, and the human implications of generative systems.

Candidates selected under the +AI initiative will be invited to participate in a university-wide workshop in one of these four identified areas and to be an active member of the intellectual community forming around that topic.
Duties will include teaching and student mentoring at the undergraduate and the graduate levels, conducting and maintaining a strong research program, and participating in department and university service.
Qualifications
A Ph.D. in Statistics or a relevant field in data science is required. Candidates for the rank of Associate or Full Professor should have outstanding teaching, service, and research record commensurate with tenure at that rank.
Application Instructions
Application materials should include a CV, list of publications, research statement, teaching statement, and three or four letters of recommendation. Applicants are recommended to include copies of past teaching evaluations along with their teaching statements. Applicants and reference letter writers should submit the required materials via Interfolio. The department will review applications regularly from October 15, 2026, but applications completed prior to November 15, 2026 will receive full consideration. Consideration after that date will be at the discretion of the department.
Each year Washington University publishes a Safety and Security brochure that details what to do and whom to contact in an emergency. This report also publishes the federally required annual security and fire safety reports, containing campus crime and fire statistics as well as key university policies and procedures. You may access the Safety and Security brochure at https://police.wustl.edu/clery-reports-logs.

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