Computer Vision AI Scientist – Healthcare, 1 yr contract
Resaro
contract
Posted on:
Location Type: Hybrid
Location: Singapore • 🇸🇬 Singapore
Visit company websiteJob Level
Junior
Tech Stack
NumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
- Model Evaluation & Testing: Design and execute evaluation pipelines for radiology AI models.
- Develop dataset sampling strategies aligned with global healthcare AI standards.
- Run statistical performance analysis including confidence intervals and statistical significance tests.
- Conduct error analysis to identify systematic failure modes.
- Testing Framework & Process Development: Work with senior scientists to design and maintain standardised evaluation procedures for medical AI.
- Cross-functional Collaboration: Work closely with Responsible AI Scientists, radiologists, and software engineers to ensure evaluation quality.
- Documentation & Research: Document testing methodologies and evaluation protocols in a clear, audit-ready format.
Requirements
- Bachelor’s or Master’s in Computer Science, Data Science, Biomedical Engineering, Machine Learning, or related field.
- 1+ years of experience building or evaluating ML models, ideally with exposure to computer vision.
- Strong Python skills and familiarity with machine learning/CV frameworks (PyTorch, TensorFlow, scikit-learn, OpenCV).
- Experience with data analysis using Pandas, NumPy, SciPy, and Jupyter.
- Understanding of basic statistics: confidence intervals, significance tests, metrics such as AUC, sensitivity/specificity.
- Interest in working with medical imaging datasets (e.g., DICOM, PACS exports).
- Strong analytical mindset and attention to detail.
Benefits
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
model evaluationdataset sampling strategiesstatistical performance analysiserror analysismachine learning modelscomputer visionPythondata analysisbasic statisticsmedical imaging datasets
Soft skills
analytical mindsetattention to detailcross-functional collaboration