Senior Multimodal AI Scientist: Computational Radiology

AstraZeneca plc; Cambridge (MA); On-site; USD 125,000 - 187,000; Full time

Job summary

AstraZeneca plc in Boston, MA is seeking a Senior Multimodal AI Scientist for Computational Radiology to develop biomarkers and predictive models from radiology imaging, clinical, molecular, and other data. You will collaborate with radiologists, imaging scientists, and oncologists to support AstraZeneca’s oncology pipeline.

The role emphasizes cutting-edge ML techniques, explainable analytics, and integration of diverse data sources to enable patient stratification and decision making within

Qualifications

• PhD in Computer Science, Statistics, Biostatistics, ML, or related quantitative discipline.
• Demonstrated experience building end-to-end ML pipelines with preprocessing, modeling, validation.
• Strong publication record in quality conferences/journals.

Responsibilities

• Lead design, development, and validation of computational pipelines generating biomarkers and predictive models from multimodal data.
• Develop ML and statistical models to identify patient subgroups and predict outcomes.
• Build multimodal analytical frameworks integrating imaging with clinical/molecular data for patient stratification.

Skills

End-to-end ML pipelines

Python

Publications

Communication skills

Machine learning

Education

PhD in quantitative field

Tools

Python

R

Job description

AstraZeneca plc in Boston, MA is seeking a Senior Multimodal AI Scientist for Computational Radiology to develop biomarkers and predictive models from radiology imaging, clinical, molecular, and other data. You will collaborate with radiologists, imaging scientists, and oncologists to support AstraZeneca’s oncology pipeline.

The role emphasizes cutting-edge ML techniques, explainable analytics, and integration of diverse data sources to enable patient stratification and decision making within