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Dyania Health

Automates EMR review with AI

Senior Staff / Staff Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeJersey City, NJ, USA

About the Job

Requirements

  • Seven or more years (Staff) or ten or more years (Senior Staff) of experience in AI/ML research or machine learning engineering.
  • A graduate degree in Computer Science, Engineering, or a related technical field.
  • Strong hands-on experience building, training, and deploying machine learning and AI models, including large language models.
  • Deep understanding of model fundamentals and architecture design.
  • Proven ability to solve problems end-to-end, from research through implementation.
  • Advanced proficiency in Python for model development and training.
  • Experience customizing models rather than relying solely on pre-built solutions.
  • Ability to independently research, evaluate, and propose technical approaches.

Responsibilities

  • Design, build, train, and deploy AI/ML and large language model-based models.
  • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment.
  • Apply strong understanding of machine learning and AI fundamentals to real-world biomedical problems.
  • Develop and optimize models using Python and modern machine learning frameworks.
  • Research emerging techniques and propose innovative solutions aligned with product and business needs.
  • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches.
  • Evaluate and recommend technical solutions and system architectures.
  • Translate research concepts into scalable, production-ready systems.
  • Contribute to long-term machine learning and AI strategy and technical vision.
  • Lead cross-project research and development initiatives.
  • Provide technical mentorship and guidance to junior researchers and engineers.
  • Establish best practices for experimentation, model development, and deployment.
  • Influence technical roadmaps and architectural decisions.

Desired Qualifications

  • Publication record in top-tier AI, natural language processing, or machine learning conferences.
  • Experience working with electronic medical records or other complex clinical datasets.
  • Experience with multimodal AI systems.
  • Prior senior- or lead-level technical experience.
  • Familiarity with regulatory considerations for clinical AI systems.
  • Experience contributing to long-term technical strategy or system architecture.

About the Company

Dyania Health

Automates EMR review with AI

Dyania Health (Synapsis AI) automates the review and abstraction of electronic medical records (EMRs) by using AI together with medical expertise to interpret patient data and draw clinical conclusions. It analyzes EMR content to determine relevance and outputs structured data for tasks like pre-screening patients for clinical trials, conducting observational studies, and meeting reporting or registry requirements. The company stands out by blending domain-specific clinical knowledge with AI to handle complex EMR review across both clinical and research workflows, not just generic automation. Its goal is to help healthcare providers and research institutions operate more efficiently through automated EMR review and data extraction, typically via a service or subscription model priced by EMR volume and task complexity.

Company size
11-50
Company stage
Series A
Total funding
$17.6M
Headquarters
Jersey City, NJ
Founded
2019

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