Data Analyst - AI Research

Hot Job

Data Analyst - AI Research

Apollo Professional Solutions

South San Francisco, CA 94080

$64 - $74/hour

Posted 10/27/2026

Job ID: 77791

Job Description

Position Type: Data Analyst - AI Research

Location: San Francisco, CA

Hourly rate: $69.00

Contractor benefits: Medical, Vision, Dental, 401k

Job Description:

We are seeking an innovative and highly analytical Data Analyst I (Predictive Modeling & AI Research) to support advanced predictive analytics and AI initiatives within a cutting-edge research and development environment. This contract opportunity is ideal for professionals who combine expertise in machine learning, predictive modeling, biomedical data science, and AI prototyping with a passion for solving complex scientific challenges.

In this role, you will contribute to the development of shared data foundations, next-generation AI capabilities, and predictive models designed to improve safety risk assessment throughout the product lifecycle.

Key Responsibilities

AI Prototyping & Agent Development

• Rapidly evaluate, prototype, and test emerging AI technologies and agentic AI capabilities.
• Design and develop MCP (Model Context Protocol) tools, AI agents, and intelligent workflows.
• Explore innovative approaches to accelerate research, knowledge discovery, and operational efficiency.
• Collaborate with stakeholders to assess technology feasibility and identify high-impact use cases.

Predictive Modeling & Advanced Analytics

• Develop, validate, and optimize predictive models using diverse and complex datasets.
• Analyze multimodal data sources, including:
• In vitro research data
• In vivo study data
• Omics datasets
• Clinical trial data
• Real-world data (RWD)
• Safety and adverse event reporting data

Support risk prediction initiatives spanning early-stage research through post-market safety monitoring. Apply machine learning and advanced statistical techniques to generate actionable insights. Data Architecture & Platform Development

• Translate prototype findings and technical evaluations into scalable platform requirements.
• Support the development of shared data infrastructure, including:
• Ontologies
• Knowledge graphs
• Data integration frameworks
• AI-enabled analytical platforms

Contribute to architectural design decisions that improve interoperability and long-term scalability. Agile Development & Technical Collaboration

• Work in an agile environment to rapidly build and refine reusable technical capabilities.
• Partner with engineering and technology teams to transition successful prototypes into validated production solutions.
• Support governance, compliance, and implementation activities during technology handoff and deployment.

Cross-Functional Partnership

• Collaborate closely with data scientists, research teams, safety experts, and technical stakeholders.
• Align analytical solutions with business priorities and scientific objectives.
• Communicate technical findings, recommendations, and project updates to cross-functional audiences.

Required Qualifications

Education

• Masters degree or PhD in:
• Data Science
• Computer Science
• Computational Biology
• Bioinformatics
• Biostatistics
• Epidemiology
• Or another quantitative scientific discipline

Technical Expertise

• Strong background in:
• Predictive modeling
• Machine learning
• Artificial intelligence
• Data science workflows

Hands-on experience developing:

• Agentic AI systems
• Large Language Model (LLM) applications
• MCP tools and AI integrations

Experience working with biomedical, healthcare, or life sciences datasets. Proficiency in rapid prototyping and applying software engineering practices within data science environments. Preferred Qualifications

• Experience in:
• Pharmacovigilance
• Drug safety analytics
• Toxicology
• Quantitative risk assessment

Familiarity with knowledge graph technologies and semantic data modeling. Experience supporting AI-driven research or scientific data platforms. What Makes You Successful

• You embrace an AI-first mindset and enjoy experimenting with emerging technologies.
• You thrive in fast-paced, highly collaborative environments.
• You can quickly adapt to evolving tools, frameworks, and project requirements.
• You possess strong communication skills and can effectively collaborate across global, matrixed organizations.
• You combine scientific curiosity with practical problem-solving to deliver innovative, scalable solutions.

Contract Details

• Position: Data Analyst I - Predictive Modeling & AI Research
• Employment Type: Contract
• Preferred Location: South San Francisco, CA (remote candidates may be considered based on qualifications)
• Duration: Approximately 14 months

Must be U.S. Person for purposes of Export Compliance. Reference Number: VEVBA

Meet Your Recruiter

Gina DArcangelis

About South San Francisco, CA

Ready to take the next step in your career journey? Explore our job opportunities in the vibrant area surrounding South San Francisco, California! Known for its proximity to the iconic Golden Gate Bridge and the bustling tech hub of Silicon Valley, this region offers unrivaled growth potential and a dynamic work environment. With a unique blend of culture, including the renowned SFMOMA art museum, the lively Castro District, and delectable cuisine like the famous sourdough bread at Boudin Bakery, South San Francisco is the perfect place to thrive professionally while enjoying the beauty of nearby parks like Golden Gate Park and the breathtaking views of the Pacific Ocean. Join us in discovering the endless possibilities for your career in this enchanting region!

Salary Notes: The compensation listed reflects the good-faith rate currently anticipated for this position and may be adjusted, where permitted by law, based on business needs, applicable qualifications and experience.

EEO Statement: Apollo Professional Solutions, Inc. is an equal opportunity employer. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, marital status, age, national origin, ancestry, disability status, medical condition, pregnancy, genetic information, protected veteran status, gender, sexual orientation, gender identity or expression, or any other status or characteristic protected under federal, state, or local law.

Related Jobs