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Computational Imaging Scientist Jobs (NOW HIRING)

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 ...

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Computational Imaging Scientist information

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$50.5K

$111.3K

$137.5K

How much do computational imaging scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for computational imaging scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a Computational Imaging Scientist job?

A Computational Imaging Scientist develops algorithms and techniques to enhance image acquisition, processing, and analysis using computational methods. They work at the intersection of imaging physics, computer science, and machine learning to improve imaging systems in fields like medical imaging, microscopy, and remote sensing. Their role involves designing novel imaging methods, optimizing image reconstruction, and implementing software solutions to extract meaningful information from visual data.

What are the key skills and qualifications needed to thrive in the Computational Imaging Scientist position, and why are they important?

To thrive as a Computational Imaging Scientist, you need a strong background in image processing, computational mathematics, and scientific programming, typically supported by an advanced degree in physics, computer science, engineering, or a related field. Proficiency with tools such as MATLAB, Python, C++, and specialized imaging platforms, as well as familiarity with machine learning libraries and version control systems, is often expected. Excellent problem-solving abilities, effective communication skills, and the ability to collaborate with multidisciplinary teams are highly valued soft skills. These competencies are important because they ensure you can develop innovative imaging solutions, efficiently analyze complex data, and contribute meaningfully to research or product development initiatives.

What does a typical day look like for a Computational Imaging Scientist?

A typical day for a Computational Imaging Scientist often includes designing and running imaging experiments, developing and optimizing algorithms for image analysis, and collaborating with engineers or researchers to interpret results. You may spend significant time coding, analyzing datasets, reviewing academic literature, and participating in team meetings to discuss project progress and challenges. While much of the work is computer-based, close collaboration with other scientists, engineers, or product teams is common, especially in a research or product development setting. This dynamic environment provides opportunities to continuously learn and contribute to cutting-edge technological advancements.

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What cities are hiring for Computational Imaging Scientist jobs? Cities with the most Computational Imaging Scientist job openings:
What are the most commonly searched types of Computational Imaging Scientist jobs? The most popular types of Computational Imaging Scientist jobs are:
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Computational Imaging Scientist jobs near you
Infographic showing various Computational Imaging Scientist job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 8% As Needed, 33% Full Time, 27% Part Time, and 30% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Associate Director - AI Scientist - Computational Radiology

Associate Director - AI Scientist - Computational Radiology

AstraZeneca

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical

Job description

Associate Director - AI Scientist - Computational Radiology
Location: Boston, MA
Hybrid: 3 days in office
At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you're our kind of person.
We are seeking a scientific and organizational leader in computational radiology and multimodal biomarker development who will drive strategy, scientific vision, and cross-functional influence across oncology programs for our Radiology & Theranostics (R&T) team within the Cancer Biomarker Development (CBD) group. Our R&T team plays a crucial role in supporting AstraZeneca's early oncology and late development strategy for an innovative pipeline that includes Antibody-Drug Conjugates (ADCs), Radio-conjugates, T-cell engagers, CAR-T therapies, bispecific antibodies, and small molecules.
In this role, based in Boston, MA, you will collaborate with a diverse team of radiologists, imaging scientists, radiation physicists, translational scientists, biologists, and oncologists. This unique opportunity allows you to contribute to the development of new biomarkers, enabling indication selection, early assessment of biological activity, and optimal patient stratification. Your efforts will significantly enhance the probability of success for AstraZeneca's oncology pipeline.
The "AI Scientist - Computational Radiology" will work to leverage foundational and cutting-edge techniques to manipulate and process medical image data, in combination with business domain knowledge, to develop and apply advanced modelling and simulation algorithms (e.g. deep learning, foundational models, traditional Machine learning including classification, regression, clustering, graph theory, Monte-Carlo sampling, and more) to generate business and scientific insights. The role will work within defined project scope and solutions aligned to established governance frameworks and policies.
Responsibilities:
  • Support the design and implementation of imaging biomarker strategies for early and late oncology assets, spanning Ph1 to Ph3 clinical studies.

  • Provide scientific leadership for multimodal biomarker development, including radiomics, deep learning biomarkers, functional imaging readouts, and imaging-molecular fusion approaches , including the creation of robust scoring/quantitation methods.

  • Drive cross-functional influence by shaping biomarker strategy, navigating complex matrixed environments, and influencing stakeholders without formal authority.

  • Deliver image analytics data to inform indication selection and identify optimal patient populations.

  • Facilitate informed biomarker selection by applying knowledge of the mechanisms of action, pharmacodynamics, and pharmacokinetics of the therapeutic agents.

  • Assist in the development, and evaluation of Clinical Trial Prototype imaging assays and Companion Diagnostics (CDxs) in collaboration with diagnostic companies and CROs

  • Develop, implement, and support modelling solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within defined project scope. This includes integrating data from multiple different sources and modalities and includes the application of specialized approaches in image analysis, classification, regression, clustering, graph theory and/or other techniques.

  • Researching and developing predictive models and computational methods to guide decision-making within project parameters and established approaches.

  • Present or publish findings for conferences and in peer reviewed journals.

  • Builds effective relationships with established range of stakeholders to ensure utilization and value of information resources and services. Clearly and objectively communicate results, as well as their associated uncertainties and limitations within agreed frameworks.

  • Develop, maintain, and apply ongoing knowledge and awareness in trends, standard methodology and new developments in analytics and data science

  • Implement good working practices to ensure that computational radiology work is delivered to robust quality standards and aligned to defined governance frameworks and policies

  • Collaborates in a multidisciplinary environment with world leading clinicians, data scientists and statisticians, biological experts, clinical trial delivery teams, and IT professionals.

Qualifications
  • PhD in Bio-Medical/Electrical Engineering with 2 years of experience or Masters with over 5 years of experience in the industry working with a strong understanding of medical image analysis.

  • Demonstrated leadership experience influencing scientific and strategic decisions without authority, driving multidisciplinary alignment, and communicating complex concepts to senior stakeholders.

  • Demonstrated experience with a sound understanding of a variety of statistical and machine learning methods and standard development practices and a desire to continue to learn and develop these skills.

  • Practical software development skills in standard data science tools: Python, R with demonstrable knowledge of good coding practices.

  • Strong track record of publications in quality conferences and journals.

Desirable for the role:
  • Experience with different medical imaging modalities - Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), etc.

  • Experience working with MONAI tooling.

  • Experience within the life sciences industry.

  • Multi-GPU optimization of 3D computer vision architectures

  • Sophisticated statistical and machine learning models such as hierarchical mixed Bayesian models, vision transformers, longitudinal data analysis.

The annual base pay for this position ranges from $144,648.80 - $216,973.20 USD. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Date Posted
27-May-2026
Closing Date
05-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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