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ChatGPT Jobs · 1 week ago

Research Intern - Healthcare AI

Seattle, WA

Internship

Hybrid

Intern

$40/hr - $40/hr

Centific is a frontier AI data foundry specializing in high-quality data and AI deployment. They are seeking a Research Intern to bridge theoretical research and applied healthcare solutions, focusing on AI initiatives to solve challenges in medical diagnostics and patient care.

Computer Software

Responsibilities

AI solutions: Develop solutions by selecting and orchestrating a diverse range of state-of-the-art models (Traditional AI and GenAI). Deep theoretical understanding of how models work to optimize performance and reliability

Agentic AI Research: Architect and implement autonomous agentic systems capable of multi-step medical reasoning, planning, and tool use to assist in clinical decision-making workflows

Medical Data Strategy: Lead the strategy for processing high-dimensional, HIPAA-compliant healthcare data. This includes handling prescriptions, electronic health records (EHR), and medical imaging to create robust datasets for pre-training and fine-tuning

End-to-End Problem Solving: Take ownership of "big picture" research problems, from defining the hypothesis to designing the architecture and executing the code, operating with a high degree of independence

Scientific Contribution: Conduct rigorous experiments and compile findings for publication in top-tier machine learning or healthcare conferences (e.g., NeurIPS, ICML, AMIA, ICHI, etc)

Clinical Foundation Models: Contribute to the development of specialized foundation models optimized for medical reasoning and diagnostics, ensuring they meet the safety and accuracy standards required for clinical deployment

Qualification

PythonDeep LearningHIPAA ComplianceMedical Data StandardsResearch ExperienceMedical LLM FamiliarityReinforcement LearningMultimodal ExperienceApplied Healthcare ToolingPublication HistoryCommunication

Required

Currently pursuing a PhD in Computer Science, Artificial Intelligence, Computational Biology, Biomedical Informatics, or a related field

Expert-level proficiency in Python and deep learning development using PyTorch (or related technologies)

Demonstrated experience handling sensitive HIPAA-compliant data

Familiarity with medical data standards and workflows (prescriptions, diagnostics)

Experience curating datasets specifically for medical reasoning

A portfolio of course projects or publications demonstrating an ability to apply AI techniques to real-world data problems

Ability to communicate to various stakeholders: medical professionals, academic professionals, industry executives

Preferred

Experience working with or fine-tuning domain-specific Medical Large Language Models (e.g., Med-PaLM, BioGPT, ClinicalBERT, or open-source equivalents like BioMistral)

Specialization or research experience in Reinforcement Learning (RL), specifically RLHF (Reinforcement Learning from Human Feedback) or Multi-Agent Reinforcement Learning (MARL) applied to optimization problems

Proven ability to work with unstructured data modalities beyond text, including Clinical Speech/Audio (ASR for doctor-patient conversations) and Medical Imaging (Radiology, Pathology)

Experience building or researching tools for clinical conversation analysis, radiology automation, or signal processing from medical devices/wearables

First-author publications in high-impact venues