Clinical Research Associate

About Dyania Health

Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness?

Synapsis AI is the answer.

At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem.

Description

As a vital member of our diverse team, our Clinical Research Associates (CRA) will collaborate closely with the AI Research and software engineering teams. Our CRA's also play a critical role in working with physicians at our client institutions to design and implement research protocols, publish results, and engage on implementation to ensure they are happy with the results Synapsis AI is giving them. Our clinical team has a 4-part focus:

(1) AI training strategy design, development of prompts and clinically relevant questions, and annotations of data as well as benchmarking to test and validate the performance of Synapsis AI regularly at scale.

(2) Scoping client partner needs to interpret, deconstruct and propose questions and focus areas. The goal is to transfer subjectivity in medicine to a "machine friendly" and objectively defined scope of projects

(3) Designing, exploring, and drafting protocols for retrospective observational research, evidence-guided care pathways, and real world insights and proceeding to implement projects and analyze results for research publications

(4) Ensure quality or results with sampling a review of what Synapsis AI is producing

Key Responsibilities:

• Development of medical cases utilized for training Dyania’s LLM
• Delineation of clinical logic for trial criteria matching
• Assessment of clinical trial protocols and composition of trial documentation
• Breakdown of inclusion and exclusion trial criteria into machine-friendly queries
• Evaluation and quality assurance of Synapsis AI performance to ensure clinical accuracy
• Design and draft of investigator initiated protocols for retrospective observational studies

Requirements

Required Qualifications:

• Medical Doctor (MD) or PharmD degree from an accredited US or EU university.
• Highly organized, strong attention to detail, and critical thinking.
• Comprehension of clinical guidelines to ensure accurate and up-to-date AI model training.
• Experience analyzing and drawing medical conclusions from clinical notes.
• Creative, solution-oriented, and flexible approach to problem solving.
• Proficiency in written/verbal communication in English.
• Strong communication skills for effective collaboration among interdisciplinary and multidisciplinary teams.

Preferred qualifications:

• Clinical trials design and clinical research procedures.
• Proficiency in Excel for data cleaning and transformations.
• Familiarity with AI/NLP, or SQL knowledge.
• Prior experience with EMR vendors in the US.

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.