Research Intern

CentificRedmond, WA
$40Remote

About The Position

We are seeking an innovative and self-driven Research Intern to join our team at the intersection of cutting-edge Artificial Intelligence and clinical impact. In this role, you will bridge the gap between theoretical research and applied healthcare solutions. You will lead independent research initiatives focusing on Traditional/Generative AI, Agentic workflows, and multimodal foundation models to solve complex challenges in medical diagnostics, reasoning, and patient care.

Requirements

  • 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.
  • Excellent Communication Skills: Ability to communicate to various stakeholders: medical professionals, academic professionals, industry executives.

Nice To Haves

  • 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 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.

Responsibilities

  • Develop AI 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.
  • Architect and implement autonomous agentic systems capable of multi-step medical reasoning, planning, and tool use to assist in clinical decision-making workflows.
  • 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.
  • 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.
  • Conduct rigorous experiments and compile findings for publication in top-tier machine learning or healthcare conferences (e.g., NeurIPS, ICML, AMIA, ICHI, etc).
  • 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.

Benefits

  • Mentorship from globally recognized data/AI leaders and branding experts.
  • Cross-functional experience with engineering, research, and marketing teams on global initiatives.
  • Direct impact on Centific’s narrative and market positioning, with high-visibility deliverables.
  • Competitive stipend, extensive networking, and the possibility of full-time conversion for top performers.
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