Artificial Intelligence, Data Analytics Engineer

CIRM

AI & Data Analytics Engineer building responsible AI, BI, and data platforms for California’s stem-cell research funding agency. Automating grantmaking workflows and improving data-driven decisions.

Posted 8/13/2026full-timeSouth San Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $153,831 - $180,585 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Artificial Intelligence and machine learning, with a strong focus on designing and implementing AI solutions that drive business initiatives. Proficient in data management, visualization, and governance, ensuring compliance and quality in AI model training and reporting.

Highest-signal resume keywords

Artificial Intelligence ExpertiseMachine Learning Model DevelopmentData Visualization with Microsoft Power BIData Engineering and ETL Pipeline DevelopmentStrong Communication and Presentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMicrosoft SQLPostgreSQLDAXData ArchitectureData AnalysisAI Model OptimizationData Ingestion and ProcessingPrompt EngineeringRetrieval-Augmented Generation

Soft Skills

Excellent CommunicationTime ManagementAttention to DetailIndependent WorkCollaboration

Tools & Technologies

Microsoft Power BIData Visualization ToolsData Governance ToolsBusiness Intelligence Solutions

Industry Keywords

Data ScienceBusiness IntelligenceData GovernanceProcess AutomationEthical AI Practices

Tech Stack

Tools & technologies

ETLPostgresPythonSQL

About the role

Key responsibilities & impact

Serve as CIRM’s technical expert in Artificial Intelligence, collaborating with the AI Core Execution Group to evaluate, prototype, and implement AI solutions supporting strategic business initiatives
Partner with business stakeholders to translate requirements into AI-enabled workflows, intelligent agents, machine learning models, and process automation solutions
Design, build, fine-tune, and maintain AI models and applications, including prompt engineering, model optimization, Retrieval-Augmented Generation (RAG), agentic AI workflows, and real-time inference pipelines
Architect scalable machine learning models and transform analytical insights into decision-support tools and actionable business solutions
Design, develop, and maintain large-scale data ingestion, transformation, and processing pipelines for structured, semi-structured, and unstructured data
Conduct exploratory data analysis to identify trends, patterns, anomalies, and opportunities for process automation and operational improvement
Ensure data integrity, quality, governance, accessibility, and compliance for AI model training and reporting accuracy
Contribute to data governance, standards, and policies
Collaborate with leadership, project managers, and cross-functional business teams to identify AI opportunities and prioritize initiatives
Promote responsible, transparent, and ethical AI practices in compliance with regulatory frameworks, security requirements, privacy standards, and industry best practices
Oversee transition of Business Intelligence solutions from development to production
Maintain technical documentation for AI solutions, data pipelines, system architecture, development standards, and operational procedures

Requirements

What you’ll need

Bachelor of Science in Computer Science, Statistics, Mathematics, Information Systems, Engineering, or related field
3+ years of experience in data science, data visualization, data architecture, business intelligence, or data analyst roles
Experience within the last 2 years designing and delivering impactful, business-focused solutions using AI technologies from providers such as OpenAI, Anthropic, Google, or Microsoft
Strong proficiency with data visualization tools, including 2+ years of experience with Microsoft Power BI
Proficiency with Microsoft SQL, PostgreSQL, Python, and DAX, including use with large datasets
Familiarity with data engineering tools and concepts, ETL pipeline development, data model design, data warehousing, and data integration
Ability to communicate project goals, timelines, and expectations clearly with business stakeholders
Excellent communication and presentation skills with meticulous attention to detail
Strong time management skills and ability to balance multiple projects and deadlines
Ability to work independently with minimal supervision
Willingness to attend organizational, board, subcommittee, and working group meetings in person as required
Willingness to work outside normal business hours
Ability to work in a high-rise building and operate standard office equipment
Cover letter and resume/CV required with application

Benefits

Comp & perks

Hybrid work arrangement: two days in the South San Francisco office and three days remotely
Equal opportunity employer
Reasonable accommodations for interviews and employment
Drug-free workplace