Base: $64,600.00 to $107,600.00; bonus: 7.5% targe...
Hybrid
Phd in quantitative discipline
Machine learning or deep learning experience
Medical image analysis expertise
This role leads innovative research at the intersection of artificial intelligence, medical imaging, and oncology drug development to transform early treatment response measurement
Job Summary
This role leads innovative research at the intersection of artificial intelligence, medical imaging, and oncology drug development to transform early treatment response measurement.
The position involves integrating large-scale multimodal clinical trial datasets including radiological imaging, pharmacokinetics/pharmacodynamics, and clinical outcomes to advance next-generation endpoints.
Candidates will receive comprehensive benefits including a 401(k) plan with matching contributions, paid vacation, and health coverage, with a base salary ranging from $64,600.00 to $107,600.00.
Matching Summary
This role leads innovative research at the intersection of artificial intelligence, medical imaging, and oncology drug development to transform early treatment response measurement.
Salary
Base: $64,600.00 to $107,600.00; Bonus: 7.5% target of base salary; Benefits: 401(k) match, health/dental/vision, paid leave
Skills & Requirements
Must-have
PhD in quantitative discipline
Machine learning or deep learning experience
Medical image analysis expertise
Proficiency in Python, R, or MATLAB
Experience with PyTorch or TensorFlow
Knowledge of pharmacometrics or PK/PD
Nice-to-have
Prior oncology research experience
Familiarity with RECIST criteria
Track record of high-impact publications
Experience collaborating with external partners
Interest in translational drug development
Key Requirements
PhD completed by start date
Permanent work authorization in the U.S.
No visa sponsorship available
Work Rights
Must have permanent work authorization in the U.S.