Senior Machine Learning Scientist, Medical Imaging

Take a Seat Tech; United States; Hybrid; USD 175,000 - 300,000; Full time

Benefits offered by this job

Equity

Job summary

Take a Seat Tech in the United States is seeking a Senior Machine Learning Scientist to build models for CT, PET and MRI scans and relate imaging data to oncology outcomes in clinical trials.

You will design volumetric imaging models, develop time-to-event prediction, and improve large-scale training pipelines while collaborating with researchers to ensure generalization across cancer types. Remote role with equity opportunities.

Qualifications

• Strong deep learning and PyTorch expertise.
• Experience with survival analysis and time-to-event modeling.
• Experience designing models for 3D medical imaging (CT/PET/MRI).
• Proven ability to scale training pipelines across large datasets.
• Publications or deployed systems in medical imaging or oncology preferred.

Responsibilities

• Design models for volumetric imaging (CT, PET, MRI).
• Develop time-to-event prediction approaches.
• Improve large-scale training pipelines and distributed training workflows.
• Collaborate with researchers to evaluate performance and generalize across cancer types.

Skills

Deep learning

PyTorch

Survival analysis

3D medical imaging

Time-to-event modeling

Distributed training

Imaging models

Oncology experience

Job description

# Senior Machine Learning Scientist, Medical ImagingA remote US senior machine learning scientist role building CT, PET and MRI models that link imaging to oncology outcomes, paying $175,000 to $300,000 plus equity.$175,000 to $300,000 a year Remote, United States (Remote)FULL\\_TIMEBrowse open rolesHealthcare AIData & AIFULL\\_TIME## About the roleHelp researchers learn more from the scans already being collected.A medical imaging AI company is hiring a Senior Machine Learning Scientist to build models supporting oncology research and clinical trials. You will connect imaging with patient outcomes, helping researchers judge how treatments perform.At a glanceSalary: $175,000 to $300,000 a year, plus equityLocation: Remote within the United StatesStack: PyTorch, deep learning, 3D medical imaging, survival analysisWhat you will doDesign models for volumetric imaging such as CT, PET and MRI.Develop time-to-event prediction approaches.Improve large-scale training pipelines.Work with researchers to evaluate performance and build methods that generalize across cancer types.What you will bringStrong deep learning and PyTorch expertise.Experience training substantial models.A solid grasp of survival analysis.Evidence of depth through publications, deployed systems or comparable work.Imaging foundation models, distributed training and oncology experience are particularly relevant.Why this roleResearch challenge with practical application, including model generalization, uncertainty and large imaging datasets.How to applyApply with your resume and relevant research or project examples.