Senior Researcher – Healthcare AI

Job Description 

Role: Senior Researcher – Healthcare AI 

Role Overview 

We are seeking a Senior Researcher to lead AI research at the intersection of machine learning and clinical healthcare. The ideal candidate brings strong ML expertise, hands-on experience with Agentic AI and Large Language Models, and a minimum of 3 years of demonstrated work with real-world healthcare data — backed by publications or showcasable projects. 

Key Responsibilities 

• Design and develop AI solutions using Traditional and Generative AI models, with deep theoretical understanding of model architectures. 

• Architect and implement Agentic AI systems for multi-step medical reasoning, planning, and clinical decision support. 

• Apply Reinforcement Learning techniques (RLHF, MARL) to optimize clinical workflows and AI-assisted diagnostics. 

• Lead healthcare data strategy: processing HIPAA-compliant EHRs, prescriptions, and medical imaging for model training and fine-tuning. 

• Own research end-to-end — from hypothesis definition to architecture design and experimental execution. 

• Author and publish findings at top-tier venues (NeurIPS, ICML, AMIA, ICHI, etc.). 

• Contribute to clinical foundation models meeting safety and accuracy standards for deployment. 

Minimum Qualifications 

• PhD in Computer Science, AI, Biomedical Informatics, or related field (exceptional MS candidates considered). 

• Expert-level Python and deep learning proficiency (PyTorch strongly preferred). 

• Demonstrated experience building Agentic AI systems and working with Large Language Models. 

• Foundational to intermediate knowledge of Reinforcement Learning (RLHF, PPO, MARL). 

• Minimum 3 years of hands-on experience with healthcare data (EHR, clinical notes, medical imaging, prescriptions). 

• Experience with HIPAA-compliant data handling and healthcare standards (HL7 FHIR, ICD-10, SNOMED CT, DICOM). 

• Portfolio of publications or showcasable projects demonstrating applied AI work on real clinical datasets. 

• Strong communication skills across medical, academic, and executive stakeholder audiences. 

Preferred Qualifications 

• Experience fine-tuning Medical LLMs (Med-PaLM, BioGPT, ClinicalBERT, BioMistral, or equivalents). 

• Advanced RL research applied to healthcare or safety-critical domains. 

• Multimodal experience: radiology/pathology imaging, clinical speech/ASR, or medical device signals. 

• First-author publications in high-impact venues (NeurIPS, ICML, ICLR, AMIA, Nature Digital Medicine).