AstraZeneca
Senior Multimodal AI Scientist – Computational Radiology
US - Boston - MA · Senior
Sponsorship not specified$125k-$187kDetected 4 days ago
PythonSwiftAlgorithmsMachine LearningDeep LearningData ScienceComputer VisionStatisticsBioinformaticsRadiologyCommunicationBiostatistics
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$96,6781 entry
Level II$133,7022 entries
Level III$170,7263 entries
Level IV$207,7504 entries
$8,988 more — $133,702 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $133,702 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Research Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Senior Multimodal AI Scientist – Computational Radiology
- 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.
Responsibilities
- Lead the design, development, and validation of computational pipelines that generate robust biomarkers and predictive models from multimodal biomedical data, including imaging, clinical, molecular, and real-world datasets.
- Design and implement multimodal analytical frameworks that integrate imaging data with clinical, molecular, and other non‑imaging data sources to support patient stratification and endpoint prediction.
- Researching and developing predictive and explainable computational methods to guide decision-making within project parameters and established approaches.
- Builds effective relationships with established range of stakeholders to ensure utilization and value of information resources and services.
- 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.
- 07-Sept-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees.
Requirements
- Practical software development skills in standard data science tools: Python, R with demonstrable knowledge of good coding practices.
- Strong communication skills: ability to present compelling cases to collaborators and operate dynamically to identify solutions.
- Ability to work effectively within a team.
- Bachelors Degree in Computer Science, Statistics, Biostatistics, Machine Learning, Biomedical Engineering, Computational Biology, Bioinformatics, Applied Mathematics, Physics, or related quantitative discipline with 0-1 years of experience in the industry with a strong foundation in machine learning, statistical modeling, applied mathematics, computer vision, computational biology, bioinformatics, biomedical engineering, or related quantitative disciplines.
- Demonstrated experience building end-to-end ML pipelines including data preprocessing, model development, validation and performance assessment.
- Strong communication skills: ability to present compelling cases to collaborators and operate dynamically to identify solutions. Ability to work effectively within a team.
- Experience developing and applying machine learning approaches in multimodal analytical settings, integrating medical imaging with clinical, molecular, or other biomedical data sources.
- The annual base pay for this position ranges from $ 124,713.60 - $187,070.40 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.
Skills
- Strong track record of publications in quality conferences and journals.
- ability to present compelling cases to collaborators and operate dynamically to identify solutions.
- Desirable for the role:
- Prior experience in medical imaging, computational pathology, genomics, clinical data science, or other biomedical data domains is valued.
- Expertise in statistical learning methods for high-dimensional data, including multiple testing correction and feature selection.
- The annual base pay for this position ranges from $ 124,713.60 - $187,070.40 USD.
- Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours.
- Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.
- 02-Sept-2026
- Closing Date
- Senior Multimodal AI Scientist - Computational Radiology
- Working here means being entrepreneurial, thinking big and working together to make the impossible a reality.
Compensation
- The annual base pay for this position ranges from $ 124,713.60 - $187,070.40 USD.
Benefits
- Develop machine learning and statistical modeling approaches that identify patient subgroups, predict outcomes, and generate clinically actionable insights from high-dimensional multimodal datasets.
Company info
- Senior Multimodal AI Scientist - Computational Radiology Location: Boston, MA At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide.
Equal opportunity
- If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Apply directly at AstraZeneca →Create a free account for alerts like thisView AstraZeneca immigration profile
This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.