Lead research initiatives exploring foundational principles of intelligence, including reasoning, planning, memory, and generalization in AI systems.
Architect frameworks for agent cognition, abstraction, goal decomposition, and adaptive planning; establish design principles for multi-agent systems.
Define research hypotheses and experimental agendas that advance the lab's understanding of intelligent behavior in artificial systems.
Synthesize academic literature and industry advances to shape the lab's technical roadmap for reasoning and cognitive architectures.
Publish findings and represent the lab's research at internal forums and external conferences.
Lead the development of benchmarking and evaluation science for AI agents, establishing rigorous methodologies to assess reasoning, planning, and generalization.
Define evaluation frameworks and success criteria for multi-agent systems across diverse enterprise use cases.
Oversee the creation of test harnesses, evaluation datasets, and measurement standards.
Ensure experimental rigor and reproducibility across all benchmarking activities.
Set the strategic direction for how the organization measures and validates agent intelligence.
Lead the design and development of multi-agent AI systems using frameworks such as Strands, LangGraph, DSPy, and similar agentic architectures.
Oversee development of RAG applications, knowledge graphs, and conversational AI solutions informed by research insights.
Drive the implementation of autonomous workflows and decision systems that demonstrate advances in agent reasoning.
Ensure solutions reflect the latest research in planning, memory, and generalization capabilities.

Requirements

BA/BS required (quantitative area of study such as Computer Science, Data Science, Statistics, Mathematics, Cognitive Science, or Engineering preferred).
Ph.D. or other graduate degree preferred.
Proficiency in Python (R or Julia), with experience in ML frameworks (Scikit-Learn, TensorFlow, PyTorch, etc.)
Experience with agentic AI frameworks (Strands, LangGraph, AutoGen, DSPy, CrewAI, or similar).
Experience with LLMs, prompt engineering, and RAG architectures.
Strong background in benchmarking and evaluation methodologies for AI systems.
Proficiency in SQL and familiarity with cloud-based environments (AWS, Azure, GCP).
Experience with Git, MLOps practices, and containerization technologies.
Strong foundation in experimental design, statistical analysis, and research methodology.
Excellent communication and presentation skills, with a proven ability to explain complex research and analyses to both technical and non-technical stakeholders.
A minimum of 5 years of hands-on experience in data science, machine learning, AI development, or AI research.
Experience leading research initiatives or technical teams preferred.
Experience with pharmaceutical or life sciences industry preferred.

Benefits

Medical, pharmacy, dental, and vision care.
Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays.
Eligibility for specific benefits listed on our careers site may vary based on the job and location.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRJuliaScikit-LearnTensorFlowPyTorchSQLexperimental designstatistical analysisbenchmarking methodologies

Soft Skills

communication skillspresentation skillsleadershipteam managementresearch methodology

Certifications

Ph.D.graduate degree