Data Analyst Research I

Aequor; South San Francisco (CA); Remote; USD 110,000 - 150,000; Full time

Job summary

Aequor is seeking a Data Analyst Research I for a 14-month contract in South San Francisco, CA. The role focuses on predictive modeling, machine learning, and AI prototyping, with an emphasis on agentic AI systems and LLM tooling.

Ideal candidates hold MSc or PhD in a quantitative field and have hands-on experience with biomedical datasets and agile data-science practices. Remote work may be considered for qualified applicants.

Qualifications

• Strong expertise in predictive modeling, machine learning, and AI prototyping.
• Hands-on experience with agentic AI systems, LLM tools, and MCP (Model Context Protocol) tools.
• Proficiency in handling biomedical datasets (omics, clinical trials, RWD, or in vitro/in vivo data).
• Agile prototyping mindset with software engineering skills tailored for data science.
• Background in pharmacovigilance, drug safety, toxicology, or quantitative risk management is desirable.

Skills

Predictive modeling

Machine learning

AI prototyping

LLM tools

MCP tools

Biomedical datasets handling

Agile prototyping

Software engineering for data science

Education

MSc/PhD in quantitative field

Job description

Job Title : Data Analyst Research I

Location : South San Francisco, CA (prefer local candidates but would consider remote , candidate would need to be comfortable working in PST hour)

Duration : 14 months

Terms : Contract W2

Technical Expertise:

• Strong expertise in predictive modeling, machine learning, and AI prototyping.
• Hands-on experience developing agentic AI systems, AI Prototyping, LLM tools, and MCP (Model Context Protocol) tools.
• Proficiency in handling biomedical datasets (omics, clinical trials, RWD, or in vitro/in vivo data).
• Agile prototyping mindset with software engineering skills tailored for data science.
• Background in pharmacovigilance, drug safety, toxicology, or quantitative risk management is highly desirable.

Education :

MSc or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related quantitative field.