Multimodal Healthcare Data Scientist
18 hours ago
Banting AI is harnessing the power of advanced AI to reshape the future of healthcare. By unlocking the potential of healthcare data, we aim to accelerate the path to life-saving treatments.
Role OverviewWe are seeking a highly skilled Multimodal Healthcare Data Scientist to join our team as a Machine Learning Engineer. In this role, you will play a key part in developing our multimodal foundation models, which integrate diverse healthcare data sources such as imaging, electronic health records (EHR), and genomics.
Key Responsibilities- Design and develop machine learning models that integrate and harmonize multiple data types, including imaging, EHR, and genomic data into powerful multimodal foundation models.
- Collaborate with data engineering and scientific teams to establish data workflows that ensure data quality, accuracy, and compliance, supporting robust model training and testing.
- Work cross-functionally to align model development with clinical objectives and regulatory standards.
- Implement responsible AI practices, including bias detection, fairness evaluation, and safety checks, to ensure that models align with ethical and regulatory standards in healthcare.
- D. in Computer Science, Machine Learning, Data Science, or a related field with a strong foundation in applied machine learning.
- ~3+ years of experience in machine learning engineering, with demonstrated expertise in multimodal data or healthcare applications.
- Proficiency in Python and experience with key machine learning libraries and frameworks, such as TensorFlow, PyTorch, or Scikit-Learn.
- Strong understanding of multimodal data fusion, feature engineering, and model architecture for scalable applications in clinical and research settings.
- Experience working with healthcare or biomedical data (e.EHRs, imaging, genomics) and familiarity with healthcare data privacy and compliance standards (HIPAA, GDPR).
- Excellent problem-solving skills, scientific rigor, and a collaborative approach to working within a cross-functional team.
- An estimated salary of $140,000 - $160,000 per year, depending on experience.
- A dynamic and innovative work environment with opportunities for professional growth and development.
- The chance to work on cutting-edge AI projects that have the potential to transform the future of healthcare.
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