Associate Director - AI Scientist – Computational Radiology

Associate Director - AI Scientist – Computational Radiology

Location: Boston, MA

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 medical computer vision and AI expert to lead the development of radiology imaging derived biomarkers 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.

• Lead the design, development, and validation of radiomics, and imaging derived assays, including the creation of robust scoring/quantitation methods.

• 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.

• Work effectively with cross-functional teams to execute defined solutions that drive value to AstraZeneca.

• 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, or relevant discipline with 2 years of experience or Masters with over 5 years of experience in the industry working with a strong understanding of medical imaging physics, medical image reconstruction, medical image analysis, and state of the art computer-vision methods.
• Demonstrated experience in building Computer Vision, AI models, with a sound understanding of a variety of statistical and machine learning methods and standard model 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.
• Strong communication skills: ability to present compelling cases to collaborators and operate dynamically to identify solutions. Ability to work effectively within a team.

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

19-Feb-2026

Closing Date

04-Mar-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.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.