Clinical Intelligence Associate

Forus•New York, NY

1d•Onsite

About The Position

As a Clinical Intelligence Associate at Forus, you will help define the clinical standards that guide how we scale our platform. You’ll translate your experience into structured frameworks that inform everything from how medical records are interpreted to how treatment decisions are supported — improving the accuracy, speed, and consistency of patient access workflows across the board. This is a high-context, cross-functional role that blends clinical expertise with systems thinking. You will work closely with our product, engineering, and AI teams to define decision logic, surface edge cases, and help us build reliable, clinically sound tools. Your work will shape the foundation of how Forus supports providers and patients at scale — and help ensure our platform reflects the best of both medicine and technology. This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Forus' success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.

Requirements

2–8 years as a board certified Nurse Practitioner (NP), Physician Assistant (PA), or similar advanced clinical role, directly providing patient care and clinical decision-making
Experience as part of an interdisciplinary team in outpatient or specialty settings, particularly in contexts involving medication prior authorizations and ensuring patient access to therapy
Strong written communication, with an ability to translate clinical complexity into context and logic that can be understood by non-clinical teams
Comfort and/or a strong interest in collaborating with product, engineering, and data science teammates on building new technologies
High NPS with your former teammates

Responsibilities

Translate clinical expertise into scalable logic, workflows, and quality standards used across Forus' platform
Curate and audit datasets to maintain high-quality, representative training and testing material
Evaluate and refine system performance to ensure clinical accuracy and reliability, using your expertise to analyze feedback and resolve issues with AI and agent outputs
Collaborate cross-functionally to ensure platform behavior reflects real-world clinical reasoning and standards
Expand knowledge across medical specialties to inform the development of AI solutions tailored to diverse clinical needs
Inform the development of new products, services, and specialty-specific modules