Statistics & Data Corporation
Healthcare
SeniorAIEngineer
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“Senior AI Engineer at Statistics & Data Corporation. Skills: AI/ML, LLM, Agentic workflows, NLP. Perform research, design, and development of AI solutions. Automate ingestion, processing, analysis, and visualization”
Industry & Context.
Identify issues; Define problems; Implement effective solutions; Troubleshooting
What They're Looking For.
Must Have
Expert in Python and AI/ML libraries, Understanding of AI/ML algorithms, Experience developing LLM-based applications, Experience with Azure ecosystem, Proficiency in SQL, Experience with software development lifecycle, Ability to work with stakeholders, Ability to communicate effectively, Ability to identify issues, Capability to communicate complex AI concepts, Organizational and time management skills, Interpersonal, collaboration, and presentation skills, Bachelor's or Master's degree, Minimum of 7 years relevant experience, Minimum of 3 years AI/ML experience
Nice to Have
AI/ML/LLM solutions in healthcare, Familiarity with clinical data standards, Experience in regulated environments, Understanding of clinical trial processes, Experience with clinical datasets, Familiarity with data governance, Experience collaborating with cross-functional teams
What You'll Do.
and development of AI solutions
Transform clinical data into actionable information
Deploy AI models and agent-based systems
Develop solutions to improve efficiency
develop and deploy AI/ML models
Develop pipelines and systems using NLP
Build and orchestrate agent-based workflows
and integrate systems
Maintain and enhance existing AI/ML models
Increase team productivity
Implement improved tools
Engage with internal stakeholders
Design and implement AI-driven solutions
Develop understanding of clinical data
Exemplify best practices in documentation
Develop and contribute to standard operating procedures
Prototype new AI capabilities
Create proof-of-concepts and demonstrations
Provide mentorship and technical guidance
Assist in execution of engineering functions
Assist in design and research of new models
Maintain and enhance existing AI solutions
Deliver technical design and software documentation
Contribute to development of standards
Perform other related duties
Adhere to essential systems and processes
How You'll Work.
Team & Collaboration
Internal cross-functional stakeholders; Cross-functional teams
Communication Scope
Technical documentation; Verbal communication; Written communication; Presentation skills
Process & Methodology
Agile methodologies, Software development lifecycle
Full Job Description
### Senior AI Engineer Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials. **Job Summary** Perform research, design, and development of Artificial Intelligence (AI) solutions leveraging agentic workflows toward automating the ingestion, processing, analysis, and visualization of clinical trial data. Transform structured and unstructured clinical data into actionable information that supports better understanding of trends, safety signals, and therapy efficacy. Deploy high-performing AI models and agent-based systems into production environments. Work with internal stakeholders to develop solutions that improve efficiency, scalability, and accuracy across clinical data processes. Contribute to the organization’s strategic objective to be at the forefront of applying AI, LLMs, and NLP technologies within clinical trials to enhance data-driven decision making and uncover complex patterns. **Primary Responsibilities** • Design, develop and deploy AI/ML models, LLM-based solutions, and agentic workflows which automate the analysis, interpretation, and correlation of clinical data • Develop pipelines and systems that leverage NLP to extract, summarize, and derive insights from structured and unstructured clinical datasets • Build and orchestrate agent-based workflows capable of multi-step reasoning, task execution, and integration with enterprise systems and APIs • Maintain and enhance existing AI/ML models, pipelines, and applications on a regular basis • Increase team productivity by developing, identifying, and implementing improved tools, frameworks, and processes for AI and software development • E
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