Date Posted :
August 11, 2023
Job Description :
This project is focused on providing a high level expertise in data integration, data exchange, and management services on large volume of data, establishing the data governance strategy (identifying the data assets that will be covered by the program, as well as the stakeholders who will be involved), data management and modernization roadmap, performing an analysis of the current state of the system, identifying current gaps and issues and making intelligent and effective recommendations involving AI/ML use case for automation of data pipelines, suggesting required technology and skills needed to enable an established web-based system to more efficiently provide data to make the healthcare system safer, higher quality, resulting in improvement patient safety in hospitals. It also involves providing subject matter expertise and advisory services on managing the data lifecycle in healthcare delivery, identifying Opportunity for Advanced Analytics, prototyping Advanced Analytics Opportunities, providing architecture recommendations based on ideal future state (identifying the desired data quality, security, and privacy requirements) and tools/technologies currently available on a market vs. what is already in use in client’s arsenal. This job requires a strong subject matter expertise and advisory service IT, data science/AI, and natural language processing as they relate to healthcare delivery and electronic health records data. The system has over 10,000 current internal and external users and is a complex application that requires a significant amount of technical expertise to maintain and operate.
The ideal candidate should have:
- More than 10 years of experience in the Information Technology industry, managing client expectations
- Knowledge of healthcare jargon and terminology is a big plus
- A deep understanding of the challenges and opportunities associated with managing data in a cloud environment, data security
- A proven track record of developing and implementing data governance frameworks ensuring that data is managed in a consistent and compliant manner
- A proven track record of success in designing solutions that are scalable, secure, and compliant with federal standards and regulations
- Possess the combination of knowledge, skills and abilities to assist the U.S. Government agency in achieving the task order goals and in meeting its platform requirements
- Advanced skills in machine learning and predictive modeling:
- Experienced in different AI /ML algorithms, such as clustering, forecasting, predictions, anomaly detection, deep learning, recommendation systems, reinforcement learning, neural networks, regression algorithms languages, and frameworks, image processing, vision, optical character recognition:
- Proficient in Machine learning and deep learning algorithms/skills: The ideal candidate should have a strong background with a proven track record in deep learning, machine learning, and programming the system to learn from data and make accurate predictions. Expertise in developing tools that can identify patients at risk for certain events, predict the effectiveness of treatments, and improve the accuracy of diagnoses.
- Natural language processing: the candidate shall have a strong knowledge and skills to develop tools that can extract information from medical records, summarize clinical trials, and generate patient education materials
- Computer vision: deep knowledge of computer vision to develop tools that can detect abnormalities in medical images, such as X-rays and MRIs
- Design and implementation of Machine Learning infrastructure for high load applications (On-Prem, Cloud, Serverless, Real-time and event-based analytics, AWS/Azure/Google Cloud DevOps)
- Implementation of machine learning solutions end-to-end from hypothesis to backend and frontend development. Proficiency in programming languages such as Python, R
- Strong coding ability in producing clean and effusion code as well as debugging and understanding large code bases
- Experience with big data tools and frameworks (like Hadoop, Spark)
- Deep understanding of databases and data modeling /design techniques and data interface protocols
- Experience in building Advanced Analytics - prototype development
IT, Network, and Cloud Security
- Comfortable with addressing organization's information security, cybersecurity architecture, and systems security engineering requirements throughout the acquisition and product life cycle
- Ability to contribute to creation and execution of enterprise security vision
- Experience in Cloud Security, Threat and Vulnerability Management (TVM), Security Configuration Checklists
- Understanding of NIST SP 800-53 controls
- Understanding the Supply Chain Risk Management (SCRM) procedures - implement and deploy best practices and plug security gaps within its cyber supply chain
- Experience in risk identification and assessment, determination of appropriate risk response actions, development SCRM plans to document response actions, and monitoring performance against plans
- Experience in enhancing SCRM Plan to align with National Institute of Standards and Technology (NIST) Special Publication (SP) 800-161, Supply Chain Risk Management Practices for Federal Information Systems and Organizations
- Design, creation, & implementation of information security vulnerability management policies, procedures, and standards
- Knowledge and experience with defense strategies, disaster recovery, and fault- tolerant cloud security infrastructure in compliance with cybersecurity frameworks (NIST, CIS, ISO/IEC 27001 and 27002)
- Deep understanding of security configurations, updates, action plans, compliance audit report, risk management program, adherence to security plans, and historical trending
- Ability to evaluate new security technologies and emerging threats to provide recommendations to strengthen the cloud environment
Infrastructure and Architecture and Security Documentation
- Create Architecture Document/Blueprint
- Create Architecture Decision Document, architectural design/diagrams
- Create Architecture Proof of Concept
- Create Current State and Future State Implementation Strategy
- Create Modernization Roadmaps (such as: Business Technology Roadmap)
- Create/enhance SCRM Plan
Certifications (a big plus):
- Cloud
- AI / ML
- Cloud Security
- Network Security
In addition, the candidate should have:
- Strong and clear communication skills, writing skills
- Ability to clearly articulate your thoughts and ideas
- Strong leadership skills and experience in managing complex projects
- Knowledge of data management, data governance, and analytics projects
- Understanding of agile methodologies and risk management
- Skills in managing the human side of change as organizations evolve their data capabilities
- Experience with training, communication, and overcoming resistance to change
- Understanding of the organization's culture and the ability to foster positive change
- Experience with statistical analysis and data interpretation
- Knowledge of data collection methods, data analytics, and visualization tools
- Ability to translate complex data into clear, actionable insights
- Deep understanding of algorithms, statistical analysis, and data mining techniques
- Expertise in data governance, data quality, and data management best practices
- Experience with developing data strategies and roadmaps
- Understanding of how data intersects with business strategy and objectives
- Skills in designing, building, and maintaining data infrastructure
- Proficiency in SQL and data warehousing solutions
- Experience with data governance practices, data quality, and related data management discipline
- Good understanding of regulatory standards and data privacy laws
- Skills in metadata management and data classification
- Expertise in cloud computing, with deep knowledge of the major cloud service providers, like AWS, Google Cloud, or Microsoft Azure
- Experience in designing, implementing, and managing secure, scalable cloud architectures
- Skills in migrating legacy systems to the cloud, and in hybrid cloud environmentsProficiency in automation and orchestration tools, as well as in cloud networking and security
- Understanding of cost-effective system design and service selection in the cloud
- Extensive experience in user-centered system design
- Skills in influencing and collaborating with diverse teams (e.g., data analysts, engineers, strategists) to ensure the user perspective is integrated throughout the project
Experience:
- AWS, Azure, Google Cloud: 10 years (Preferred)
Technical Qualifications
The candidate shall bring a unique blend of technical expertise, problem-solving skills, and a deep understanding of software development and machine learning principles. With a proven track record in building and maintaining scalable infrastructure and implementing cutting-edge AI/ML solutions, well-equipped to drive innovation and enhance efficiency in complex healthcare software environments. Experience designing architecture solutions for a variety of data use cases both on premise and in the cloud to support high volume, velocity, variety, and veracity data using industry best practices and considering compliance with applicable federal and industry mandates and or initiatives.
