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Medical Image Reconstruction Algorithm Jobs (NOW HIRING)

Leidos

Computational Imaging Scientist

San Diego, CA · On-site

... digital reconstruction and inference algorithms. You will develop and apply computational imaging models that connect optical design, image formation, detector response, calibration, image ...

Leidos

Computational Imaging Scientist

San Diego, CA · On-site

... digital reconstruction and inference algorithms. You will develop and apply computational imaging models that connect optical design, image formation, detector response, calibration, image ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Perform research and development of novel scalable machine learning algorithms for various ... medical image reconstruction, computer-aided cancer detection/diagnosis and radiomics; * At least ...

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Medical Image Reconstruction Algorithm information

What is a medical image reconstruction algorithm?

A medical image reconstruction algorithm is a computational method used to generate visual images from raw data collected by medical imaging devices, such as CT, MRI, or PET scanners. These algorithms process signals or projections to create detailed images of the inside of the human body, which are essential for diagnosis and treatment planning. They use advanced mathematics and computer science techniques to improve image quality, reduce noise, and enable faster image acquisition. Advances in reconstruction algorithms have significantly improved the accuracy and speed of medical imaging, leading to better patient outcomes.

What are the key skills and qualifications needed to thrive as a medical image reconstruction algorithm engineer?

A Medical Image Reconstruction Algorithm Engineer requires strong skills in mathematics, computer science, and signal processing, typically supported by an advanced degree in biomedical engineering, computer science, or a related field. Proficiency in programming languages such as Python, MATLAB, and C++, as well as experience with medical imaging software and frameworks like ITK or TensorFlow, is essential. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for innovating and collaborating in multidisciplinary environments. These competencies are crucial for developing accurate and efficient algorithms that improve diagnostic imaging quality and enhance patient outcomes.

What are some typical challenges faced by professionals working in medical image reconstruction algorithm development?

Professionals in medical image reconstruction algorithm development often encounter challenges related to balancing image quality with computational efficiency. They must ensure that algorithms produce highly accurate and diagnostically useful images while also minimizing processing time to meet clinical workflow demands. Additionally, integrating algorithms with existing medical imaging hardware and software, and addressing variability in patient anatomy or movement, require close collaboration with radiologists, engineers, and IT specialists. Staying current with evolving imaging modalities and regulatory standards is also crucial for success in this role.

What is the difference between Medical Image Reconstruction Algorithm vs Medical Imaging Technician?

AspectMedical Image Reconstruction AlgorithmMedical Imaging Technician
Primary RoleDevelops algorithms to reconstruct images from raw medical dataOperates imaging equipment and captures medical images
Required SkillsProgramming, signal processing, medical imaging knowledgeTechnical operation, patient positioning, image acquisition
Work EnvironmentResearch labs, software development teamsHospitals, clinics, diagnostic centers
CertificationsTypically none, but advanced roles may require specialized trainingARRT certification or equivalent

Medical Image Reconstruction Algorithms focus on creating and improving algorithms to generate clear images from raw data, often working in research or software development. Medical Imaging Technicians operate imaging equipment to capture images for diagnosis. While both roles are essential in medical imaging, they differ in responsibilities, skills, and work environments.

What other helpful pages are available for Medical Image Reconstruction Algorithm?

Other pages related to Medical Image Reconstruction Algorithm:

Infographic showing various Medical Image Reconstruction Algorithm job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Computational Imaging Scientist

San Diego, CA • On-site

Leidos
IT Services • 10K+ employees
Learn more about Leidosexternal

Full-time

Posted 27 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

Job description

Are you ready for your next career challenge?
The Leidos Defense Space Business Area is seeking an Optical Engineer specializing in Computational Imaging to support the Emerging Space Systems Division in the development of meta-optic-enabled computational imaging systems for edge processing on next-generation space missions. The Space Business Area is transforming space payload solutions through customer-funded programs and internal research and development (IR&D) efforts focused on enabling new capabilities in space-based sensing.
Primary Responsibilities
In this role, you will support the design, modeling, and experimental validation of infrared meta-optic systems integrated with digital reconstruction and inference algorithms. You will develop and apply computational imaging models that connect optical design, image formation, detector response, calibration, image reconstruction, and downstream inference performance.
You will contribute to the development of simulation tools and algorithms for analyzing hybrid optical-digital imaging systems, including forward image-formation models, inverse-problem formulations, reconstruction algorithms, and end-to-end optimization of optical and computational parameters. You will also support design trades and system-level evaluations involving image quality, signal-to-noise ratio, reconstruction fidelity, classification performance, robustness, and computational complexity.
Working closely with senior engineers and cross-functional teams, you will help evaluate and mature emerging optical technologies, including metaoptics and optical computing systems, analyze experimental data to inform design decisions, and document results to support internal R&D and program efforts.
This position includes both analytical and experimental responsibilities, with an emphasis on modeling and algorithm development. The ideal candidate is comfortable working across optical simulation, computational imaging, machine learning, and laboratory environments and is interested in developing integrated optical-digital sensing systems.
Basic Qualifications
  • BS degree in Physics, Materials Science, Optics, or a related field with 8+ years of prior relevant experience or MS with 6+ years of prior relevant experience. May possess a Doctorate in technical domain.
  • Demonstrated research or development experience in computational imaging or a closely related field
  • Experience with Fourier optics, wave propagation, diffraction, and coherence theory
  • Experience with optimization methods used in computational imaging, including gradient-based optimization, regularization, or statistical estimation
  • Familiarity with machine-learning-based reconstruction or inference methods, including convolutional neural networks or related architectures
  • Experience programming in Python using scientific-computing and machine-learning tools such as NumPy, SciPy, PyTorch, JAX, or TensorFlow; experience with MATLAB or C++ may also be applicable
  • Strong analytical and problem-solving skills with attention to detail
  • Must be a U.S Citizen
  • Must be able to obtain and maintain a Secret security clearance.

Preferred Qualifications
  • Active Secret clearance with ability to obtain a higher-level clearance (TS/SCI)
  • Experience designing or modeling optical systems using Zemax OpticStudio, CODE V, FRED, or equivalent software
  • Experience developing and evaluating machine-learning-based image reconstruction, detection, or classification systems
  • Experience working in a laboratory environment, including optical alignment, imaging-system testing, detector characterization, or optical characterization
  • Familiarity with diffractive optics, meta-optics, metasurfaces, or nanophotonic inverse-design
  • Experience with electromagnetic modeling tools such as COMSOL, Ansys Lumerical, or equivalent
  • Record of research contributions demonstrated through publications, patents, conference presentations, or development of relevant computational-imaging systems

Why Leidos?
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.
Leidos Defense provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Our team is solving the world's toughest security challenges for customers with "can't fail" missions.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
August 19, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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