Develop artificial intelligence and machine learning (AI/ML) models using multimodal biomedical and healthcare data to support biomedical research for federal health and defense organizations
Requirements
- Experience implementing multimodal AI with at least 2 (preferably 3) of the following data types: medical imaging data, EHR data, multiomics data, and wearable device data
- Understanding of data types, standards, and data models used for medical imaging, EHR, multiomics, and wearable device data
- Strong knowledge of AI/ML techniques including natural language processing (NLP), supervised, unsupervised, and reinforcement learning, with expertise in Python, AI/ML key libraries, and basic LLM concepts
Responsibilities
- Build AI models and pipelines for biomedical and healthcare applications
- Develop multimodal AI algorithms using medical imaging data, electronic health records (EHR) data, multiomics data, wearable device data
- Conduct data preparation, feature engineering, model selection, training, and optimization to ensure optimal performance from the AI models
- Design and implement AI solutions using the latest Generative AI technologies and foundation models / large-language models (LLMs)
- Stay updated on AI and ML trends and write clean, maintainable, and well-documented code following industry standards
- Contribute to the technical writing of AI/ML-related proposals and white papers
Other
- Ph.D. (preferred) or M.S. in an engineering, scientific, or health-related field
- Minimum 3 years relevant work experience (Ph.D.) or 7 years relevant work experience (M.S.)
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
