Senior​/Research Scientist

About Dyania Health

Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system.

Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria.

We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding.

This is a senior, hands-on research role
. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems.

Leveling is based on experience:

• Staff Research Scientist: 7+ years of relevant experience
• Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities

• A senior researcher who builds models
  , not dashboards
• A hands-on technologist who understands model architecture, training, and optimization
• Someone who can define strategy, lead initiatives, and still write production-quality code
• A strong independent problem solver comfortable with ambiguity and research-driven development
• A technical leader who can mentor others while delivering individually

• Design, build, train, and deploy AI/ML and LLM-based models
• Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment
• Apply strong understanding of ML and AI fundamentals to real-world biomedical problems
• Develop and optimize models using Python and modern ML 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 ML 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

• 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering
• Graduate degree in Computer Science, Engineering, or a related technical field
• Strong hands-on experience building, training, and deploying ML and AI models, including LLMs
• 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

• Publication record in top-tier AI, NLP, or ML conferences
• Experience working with EMR or other complex clinical datasets
• Experience with multi-modal 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
• PhD is welcome but not required

• We lead with empathy for patients and our teammates
• We…