Senior Researcher – Healthcare AI
CentificAbout Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
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).
Salary: $150k - $160K