Data Analyst - AI Research

Apollo Professional Solutions; South San Francisco (CA); Hybrid; USD 81,000 - 109,000; Full time

Benefits offered by this job

Medical

Vision

Dental

401k

Job summary

Apollopros is seeking a Data Analyst I – Predictive Modeling & AI Research in the South San Francisco area. The role focuses on predictive analytics, AI prototyping, and building data foundations for next-gen AI capabilities.

You will work across multimodal datasets, develop AI-enabled analytics platforms, and collaborate with cross-functional teams to deliver scalable solutions in a dynamic R&D environment.

Qualifications

• Master's degree or PhD in Data Science, CS, computational biology, bioinformatics, biostatistics or related field.
• Strong background in predictive modeling, ML, AI, data science workflows.
• Experience with biomedical, healthcare, or life sciences datasets.
• Proficiency in rapid prototyping and applying software engineering within data science.

Responsibilities

• Evaluate, prototype, and test emerging AI technologies and agentic AI capabilities.
• Develop MCP tools, AI agents, and intelligent workflows.
• Collaborate with stakeholders to assess feasibility and high-impact use cases.
• Translate prototype findings into scalable platform requirements.
• Partner with engineering to transition prototypes into production solutions.
• Support governance, compliance, and deployment activities.

Skills

Predictive modeling

Machine learning

AI research

Data science workflows

Agentic AI systems

Rapid prototyping

Data visualization

Education

Master's degree or PhD in Data Science/CS/Computational Biology/Bioinformatics/Biostatistics/Epidemiology

Tools

MCP tools

Knowledge graphs

AI integrations

Ontology development

Data integration frameworks

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: Master's 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