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Dyania Health, inc.

Senior Staff / Staff Research Scientist

jersey city, NJ

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About this opportunity

Dyania Health, inc. lists this Senior Staff / Staff Research Scientist opportunity in jersey city, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.

Job description

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.

The Role

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

What We’re Looking For

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

Key Responsibilities

Research, Development & Implementation

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

Problem Solving & Strategy

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

Leadership

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

Required Qualifications

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

Preferred Qualifications

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

Team Culture:

We lead with empathy for patients and our teammates

We value small egos, self-awareness, and humility in our teammates

We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift

We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team

We value open dialogue and brainstorming across multidisciplinary teams

Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.

Competitive Salary

Health Care Plan (Medical, Dental & Vision)

Retirement Plan (401k, IRA)

Generous Paid Time Off (Vacation, Sick & Public Holidays)

Family Leave (Maternity, Paternity)

Training & Professional Development Support

Remote work

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Worksite address

jersey city, NJ, 07390, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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