US_Data Analyst_Research I_CO

Keywords: Data Analyst, Predictive Modeling, Machine Learning, Artificial Intelligence, AI Research, Data Science, LLM, Agentic AI, MCP Tools, Knowledge Graphs, Biomedical Data, Bioinformatics, Computational Biology, Drug Safety Analytics, Pharmacovigilance, Real-World Data, Clinical Data Analytics, Risk Prediction, Healthcare Analytics, Research Data Scientist. 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.

Data Analyst I – Predictive Modeling & AI Research Help Shape the Future of AI-Driven Drug Safety Analytics
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

Keywords: Data Analyst, Predictive Modeling, Machine Learning, Artificial Intelligence, AI Research, Data Science, LLM, Agentic AI, MCP Tools, Knowledge Graphs, Biomedical Data, Bioinformatics, Computational Biology, Drug Safety Analytics, Pharmacovigilance, Real-World Data, Clinical Data Analytics, Risk Prediction, Healthcare Analytics, Research Data Scientist.