work closely with the Machine Intelligence (MI) team within Data Science and Digital Health (DSDH) AI/ML to develop and deliver artificial intelligence (AI)/machine learning (ML) scientific applications
work with large language models (LLMs) and sophisticated data science techniques
harness massive datasets spanning scientific literature, omics, and biomolecular knowledge
connect research across the entire R&D lifecycle
transform AI/ML needs into actionable science

Requirements

A Ph.D. degree in AI/ML or related field (e.g., computer science, machine learning, data science, applied mathematics, statistics) with at least two (2) years working experience
Knowledge in sophisticated mathematics areas such as Bayesian inference, uncertainty quantification, information theory, causal inferencing, graph neural networks, etc.
Proficiency with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.) and deep learning frameworks (e.g., PyTorch, Tensorflow, etc.)
Proficiency in one or more programming languages – preferably Python

Benefits

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
up to 120 hours vacation
up to 40 hours sick time
up to 13 days holiday pay

Applicant Tracking System Keywords

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

Hard Skills & Tools

artificial intelligencemachine learninglarge language modelsBayesian inferenceuncertainty quantificationinformation theorycausal inferencinggraph neural networksPythondeep learning

Certifications

Ph.D. in AI/MLPh.D. in computer sciencePh.D. in data sciencePh.D. in applied mathematicsPh.D. in statistics