1 month ago
Base Salary
$131k - $237k/yr
Responsibilities
- Lead technical strategy, architecture, and implementation of AI-enabled solutions for cancer research, precision medicine, clinical research, and biomedical informatics.
- Advise NCI leadership and Government executives on AI strategy, enterprise architecture, digital modernization, and emerging technologies.
- Guide AI model development, deployment, and lifecycle management across machine learning, deep learning, NLP, LLMs, computer vision, predictive analytics, and multi-agent AI.
- Oversee AI capabilities for biomedical imaging, radiomics, genomics, multi-omics, precision oncology, clinical trials, semantic search, knowledge management, and decision support.
- Guide scalable cloud-native AI architectures using HPC, AWS, Azure, Google Cloud Platform, Kubernetes, MLOps, and DevSecOps practices.
- Ensure responsible, explainable, secure, privacy-conscious, and policy-compliant AI solutions.
- Lead technical reviews, architecture discussions, executive briefings, and technology roadmaps.
- Mentor and provide technical oversight to multidisciplinary AI, software, data, cloud, cybersecurity, and biomedical informatics teams.
Requirements
- Master’s degree in Computer Science, Artificial Intelligence, Biomedical Informatics, Bioinformatics, Data Science, Computer Engineering, Applied Mathematics, or a related discipline.
- Minimum 15 years of progressively responsible technical leadership supporting large-scale Federal health, biomedical research, or scientific computing programs.
- Minimum 10 years designing, implementing, and leading enterprise AI and ML solutions in healthcare, biomedical research, life sciences, or federal research environments.
- Experience supporting NIH, NCI, or other Federal biomedical research organizations.
- Extensive expertise in deep learning, machine learning, generative AI, NLP, LLMs, computer vision, predictive analytics, biomedical informatics, and cloud-native AI architectures.
- Experience advising executive Government customers on AI strategy, enterprise architecture, and digital modernization.
- Experience leading multidisciplinary teams of AI engineers, data scientists, software engineers, cloud architects, cybersecurity specialists, and biomedical subject matter experts.
- Experience with HPC, cloud-native AI platforms, Kubernetes, DevSecOps, and MLOps.
- Familiarity with TensorFlow, PyTorch, Scikit-learn, Hugging Face, MLflow, Kubeflow, LangChain, vector databases, graph databases, and AI orchestration frameworks.
- Ability to obtain and maintain a Public Trust / ADPII Clearance.
- Ph.D. in AI, Biomedical Informatics, Computer Science, Computational Biology, or a related field is preferred.
- Preferred experience includes NCI organizations, cancer informatics, biomedical imaging, radiomics, genomics, precision oncology, clinical trials, translational research, FHIR, OMOP, FAIR data principles, biomedical ontologies, semantic interoperability, and research data ecosystems.
Benefits
- The stated pay range is $131,300.00 to $237,350.00 annually.
- The position supports future business that has not yet been awarded.
- U.S. position with a Public Trust / ADPII Clearance requirement.
Tech Stack
Categories
About Leidos
Leidos builds and operates technology and engineering solutions for defense, intelligence, civil, and health agencies, including systems integration, cyber, enterprise IT, sensors, and healthcare IT. It primarily sells through government contracts and long-term programs, plus managed services and mission software. Founded in 1969 and headquartered in Reston, Virginia, Leidos is a Fortune 500 public company on the NYSE; customers include U.S. defense and intelligence agencies and civil bodies such as the FAA.