Postdoctoral Fellow, AI for Quantitative Medicine
USA - MA - Cambridge Kendall Sq. 610 Main, United States
USD 64K-107K Senior-level Full Time
Tasks
- Build predictive and mechanistic models for early response and survival outcomes
- Communicate research results through publications and presentations
- Design and evaluate continuous early response endpoints
- Develop and validate AI imaging biomarkers for tumor response
- Ensure scientific rigor validation and reproducibility
- Integrate medical imaging PK PD and clinical outcomes
- Translate modeling advances into scalable frameworks for dose optimization and trial design
Perks/Benefits
- 401k matching
- 401k plan
- Health insurance
- Hybrid work environment
- Paid Holidays
- Paid caregiver leave
- Paid medical leave
- Paid parental leave
- Paid personal days
- Paid vacation
- Relocation support
- Retirement savings contribution
Skills/Tech-stack
Artificial Intelligence | Convolutional Neural Networks | Deep learning | Image analysis | MATLAB | Machine Learning | Medical Image Analysis | Multimodal Learning | Neural Networks | Pharmacodynamics | Pharmacokinetics | Pharmacometric Modeling | PyTorch | Python | R | Survival analysis | TensorFlow | Transformers
Education
Roles
Regions
Countries
States
Cities
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