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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in AI and ML solutions, particularly in healthcare and biomedical research, with a strong focus on technical leadership, architecture, and compliance with Responsible AI standards. Proven ability to mentor multidisciplinary teams and effectively communicate with both technical and executive stakeholders.
Highest-signal resume keywords
AI Model DevelopmentMachine LearningDeep LearningBiomedical InformaticsCloud-Native AI Architectures
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Artificial IntelligenceMachine LearningDeep LearningNatural Language ProcessingComputer VisionPredictive AnalyticsGenerative AIData ScienceBiomedical InformaticsCloud Computing
Soft Skills
Analytical SkillsProblem-SolvingCustomer FocusCollaborationCommunication
Tools & Technologies
HPCAWSAzureGoogle Cloud PlatformKubernetesTensorFlowPyTorchScikit-learnMLflowKubeflow
Certifications & Qualifications
Public Trust / ADPII Clearance
Industry Keywords
Cancer ResearchPrecision MedicineClinical ResearchBiomedical ImagingGenomicsPrecision OncologyClinical TrialsTranslational ResearchNIH PoliciesNIST AI Risk Management Framework
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud PlatformKubernetesPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Lead the technical strategy, architecture, and implementation of AI-enabled solutions supporting cancer research, precision medicine, clinical research, and enterprise biomedical informatics
- Serve as principal technical advisor to NCI leadership on AI, ML, biomedical informatics, and digital modernization initiatives
- Partner with Government stakeholders, scientific leadership, and multidisciplinary SMEs to define technical priorities, evaluate emerging technologies, and deliver mission-focused solutions
- Provide technical leadership across AI model development, deployment, and lifecycle management, including machine learning, deep learning, NLP, LLMs, computer vision, predictive analytics, and multi-agent AI systems
- Oversee design and integration of AI capabilities for biomedical imaging, radiomics, genomics, multi-omics analysis, precision oncology, clinical trial optimization, semantic search, knowledge management, and decision support
- Guide scalable AI and cloud-based architectures using HPC, AWS, Azure, Google Cloud Platform, Kubernetes, and modern MLOps practices
- Ensure Responsible AI compliance, including model governance, explainability, bias mitigation, security, privacy, NIH policies, Executive Orders, and the NIST AI Risk Management Framework
- Lead technical reviews, architecture discussions, executive briefings, and technology roadmaps
- Mentor engineering teams and provide technical oversight to AI engineers, software developers, data scientists, cloud architects, cybersecurity specialists, and biomedical informatics SMEs
- Evaluate and recommend emerging AI technologies to accelerate scientific discovery, improve operational efficiency, and advance NCI’s research mission
Requirements
What you’ll need- 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 within healthcare, biomedical research, life sciences or federal research environments
- Demonstrated 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
- Demonstrated experience advising executive Government customers on AI strategy, enterprise architecture, and digital modernization initiatives
- Proven experience leading multidisciplinary teams consisting 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 related field preferred
- Experience supporting NCI organizations including CBIIT, CCR, DCTD, DCP, or related biomedical research programs
- Experience with cancer informatics, biomedical imaging, radiomics, genomics, precision oncology, clinical trials, and translational research
- Expertise with FHIR, OMOP, FAIR data principles, biomedical ontologies, semantic interoperability, and research data ecosystems
- Strong customer focus and mission orientation
- Excellent analytical and problem-solving skills
- Ability to lead cross-functional teams in a collaborative environment
- Commitment to quality, innovation, and continuous process improvement
- Ability to communicate effectively with both technical and executive audiences