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# Technical Lead

- **Company:** CareerCircle
- **Location:** Alexandria, VA, United States
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Bioinformatics, Health Informatics, Cloud Computing, Cloud Engineering, Cyber Security, Computational Biology, Databases, Computer Engineering, Information Engineering, Decision Support Systems, Field-Programmable Gate Array (FPGA), Graph Database, Intelligence Analysis, Interoperability, Python (Programming Language), Knowledge Management, Machine Learning, Language Modeling, Natural Language Processing, Tensorflow, Salesforce.Com, Scientific Computating, Search Technologies, Software Engineering, Systems Integration, Software Technical Review, Explainable AI (XAI), Google Cloud, Cloud Platform System, High Performance Computing, Pytorch, LangChain, Fast Healthcare Interoperability Resources, Large Language Models, Multi-Agent Systems, Deep Learning, Generative AI, Social Network Analysis, Agentic-AI, AI Platforms, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Data Management, Machine Learning Operations, Devsecops
- **Published:** October 2, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/va/reston/7602e7ae-fb79-44df-94ef-a8cf2b3a62ab

## About the Role

* 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.

Preferred Qualifications

 * 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

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

## Description

Oncology
Research
Advising
Equities
Kubeflow
Genomics
DevSecOps
LangChain
Leadership
Consulting
Governance
Innovation
Kubernetes
Mitigation
TensorFlow
Ontologies
Scalability
Informatics
Market Data
Data Science
Communication
Life Sciences
Deep Learning
Cyber Security
Graph Database
Bioinformatics
Responsible AI
Clinical Trials
Microsoft Azure
Problem Solving
Data Management
Computer Vision
Cloud Computing
Semantic Search
Vector Database
Customer Service
Computer Science
Machine Learning
Medical Research
Clinical Research
Influencing Skills
Operationalization
Technical Strategy
Customer Engagement
Amazon Web Services
Technology Roadmaps
Applied Mathematics
Multi-Agent Systems
Software Engineering
Software Development
Knowledge Management
Computer Engineering
Lifecycle Management
Technical Leadership
Predictive Analytics
Scientific Computing
Explainable AI (XAI)
Emerging Technologies
Technology Strategies
Computational Biology
Information Technology
Cloud-Native Computing
Operational Efficiency
Biomedical Informatics
Artificial Intelligence
Enterprise Architecture
Large Language Modeling
Software Technical Review
Clinical Decision Support
Semantic Interoperability
High Performance Computing
Google Cloud Platform (GCP)
Hugging Face (NLP Framework)
Artificial Intelligence Risk
Scikit-Learn (Python Package)
Cross-Functional Team Leadership
Artificial Intelligence Strategy
Natural Language Processing (NLP)
Generative Artificial Intelligence
PyTorch (Machine Learning Library)
MLOps (Machine Learning Operations)
Artificial Intelligence Infrastructure, The Leidos Health & Civil Sector is seeking a Technical Lead to support the National Institutes of Health (NIH), National Cancer Institute (NCI), Center for Biomedical Informatics and Information Technology (CBIIT) Business Information Technology Solutions Development and Integration Services (BITSDIS) 2 program.

** This posting is for future business - not yet awarded **

The Technical Lead will provide strategic technical leadership, scientific consulting, and executive-level advisory support to Government leadership for the development, integration, and operationalization of advanced Artificial Intelligence (AI), Machine Learning (ML), and data science capabilities that accelerate cancer research, clinical decision support, and precision medicine.

Serving as the Government's trusted technical advisor, the Technical Lead will collaborate closely with NCI leadership, principal investigators, biomedical researchers, clinicians, informaticians, and multidisciplinary engineering teams to develop innovative AI-enabled solutions supporting clinical research, scientific data management, and enterprise research platforms.

The successful candidate will combine deep expertise in artificial intelligence, machine learning, biomedical informatics, cloud computing, and modern software engineering with exceptional customer engagement and communication skills to guide technology strategy, influence architectural decisions, and ensure delivery of scalable, secure, and scientifically rigorous AI capabilities aligned with NIH and NCI strategic priorities., * Lead the technical strategy, architecture, and implementation of AI-enabled solutions that support cancer research, precision medicine, clinical research, and enterprise biomedical informatics.

 * Serve as the principal technical advisor to NCI leadership, providing strategic guidance on AI, ML, biomedical informatics, and digital modernization initiatives.
 * Partner with Government stakeholders, scientific leadership, and multidisciplinary Subject Matter Experts (SMEs) to define technical priorities, evaluate emerging technologies, and deliver innovative, mission-focused solutions.
 * Provide technical leadership across AI model development, deployment, and lifecycle management, including machine learning, deep learning, natural language processing (NLP), large language models (LLMs), computer vision, predictive analytics, and multi-agent AI systems.
 * Oversee the design and integration of AI capabilities supporting biomedical imaging, radiomics, genomics, multi-omics analysis, precision oncology, clinical trial optimization, semantic search, knowledge management, and decision support.
 * Guide the development of scalable AI and cloud-based architectures leveraging high-performance computing (HPC), AWS, Azure, Google Cloud Platform, Kubernetes, and modern MLOps practices.
 * Ensure AI solutions adhere to Responsible AI principles, including model governance, explainability (XAI), bias mitigation, security, privacy, and compliance with NIH policies, Executive Orders, and the NIST AI Risk Management Framework.
 * Lead technical reviews, architecture discussions, executive briefings, and technology roadmaps while effectively communicating complex technical concepts to Government executives, researchers, and business stakeholders.
 * Mentor engineering teams and provide technical oversight to AI engineers, software developers, data scientists, cloud architects, cybersecurity specialists, and biomedical informatics SMEs to ensure successful delivery of high-quality technical solutions.
 * Evaluate and recommend emerging AI technologies and innovative approaches that accelerate scientific discovery, improve operational efficiency, and advance NCI's strategic research mission., Teamwork
Research
Equities
DevSecOps
Innovation
Algorithms
Statistics
Agentic AI
Mathematics
Market Data
Data Science
Observability
Cyber Security
Microsoft Azure
Social Sciences
Active Learning
Ancient History
Computer Science
Machine Learning
Data Engineering
Advanced Analytics
Operationalization
Hardware Platforms
Intelligence Agency
Statistical Analysis
Top Secret Clearance
Predictive Analytics
Explainable AI (XAI)
Supply Chain Analysis
Intelligence Analysis
Artificial Intelligence
Social Network Analysis
Creative Problem Solving
Product Family Engineering
Python (Programming Language)
Field-Programmable Gate Array (FPGA)
Application Programming Interface (API)
Top Secret-Sensitive Compartmented Information (TS/SCI Clearance)
+0

Salesforce Developer
Technical Lead
Leidos

Rockville, MD*On-Site

MLflow
Oncology
Research
Advising
Equities
Kubeflow
Genomics
DevSecOps
LangChain
Leadership
Consulting
Governance
Innovation
Kubernetes
Mitigation
TensorFlow
Ontologies
Scalability
Informatics
Market Data
Data Science
Communication
Life Sciences
Deep Learning
Cyber Security
Graph Database
Bioinformatics
Responsible AI
Clinical Trials
Microsoft Azure
Problem Solving
Data Management
Computer Vision
Cloud Computing
Semantic Search
Vector Database
Customer Service
Computer Science
Machine Learning
Medical Research
Clinical Research
Influencing Skills
Operationalization
Technical Strategy
Customer Engagement
Amazon Web Services
Technology Roadmaps
Applied Mathematics
Multi-Agent Systems
Software Engineering
Software Development
Knowledge Management
Computer Engineering
Lifecycle Management
Technical Leadership
Predictive Analytics
Scientific Computing
Explainable AI (XAI)
Emerging Technologies
Technology Strategies
Computational Biology
Information Technology
Cloud-Native Computing
Operational Efficiency
Biomedical Informatics
Artificial Intelligence
Enterprise Architecture
Large Language Modeling
Software Technical Review
Clinical Decision Support
Semantic Interoperability
High Performance Computing
Google Cloud Platform (GCP)
Hugging Face (NLP Framework)
Artificial Intelligence Risk
Scikit-Learn (Python Package)
Cross-Functional Team Leadership
Artificial Intelligence Strategy
Natural Language Processing (NLP)
Generative Artificial Intelligence
PyTorch (Machine Learning Library)
MLOps (Machine Learning Operations)
Artificial Intelligence Infrastructure
+0

Google IT Automation with Python
Senior AI Engineer
Leidos

Rockville, MD*On-Site

Physics
Teamwork
Research
Equities
DevSecOps
Innovation
Algorithms
Statistics
Agentic AI
Mathematics
Market Data
Data Science
Observability
Cyber Security
Microsoft Azure
Social Sciences
Active Learning
Ancient History
Computer Science
Machine Learning
Data Engineering
Advanced Analytics
Operationalization
Hardware Platforms
Intelligence Agency
Statistical Analysis
Top Secret Clearance
Predictive Analytics
Explainable AI (XAI)
Supply Chain Analysis
Intelligence Analysis
Artificial Intelligence
Social Network Analysis
Creative Problem Solving
Product Family Engineering
Python (Programming Language)
Field-Programmable Gate Array (FPGA)
Application Programming Interface (API)
Top Secret-Sensitive Compartmented Information (TS/SCI Clearance)
+0


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