Founding Fellow, New Indications

About the role

The position expands clinical research into new cancer types and disease areas beyond breast cancer. The role owns the end to end discovery and launch of new disease indications for the clinical AI platform. You will define the strategic pathway for translating AI model outputs into actionable clinical evidence across diverse patient populations. This role requires deep engagement with clinicians, data scientists, and operational partners to align technology capabilities with real world medical needs. You will own the hypothesis generation, study design, and validation logic required to de risk novel applications of the platform. Success in this role will be measured by the robust generation of new indication candidates and their progression toward formal clinical evaluation. You will act as the clinical conscience of the engineering team, ensuring that every model behavior is interrogated for clinical safety and relevance. This is a founding role where your decisions will directly shape which diseases the platform investigates next.

Key facts

What you'll do

Design and execute a discovery pipeline that scans multi modal clinical data to identify high potential disease areas where AI can create step change in current standards of care.

Translate complex model behavior into structured clinical hypotheses, defining target patient cohorts, primary endpoints, and surrogate markers that satisfy regulatory and ethical expectations.

Collaborate with data engineering to curate and validate training and test datasets, ensuring that data quality, provenance, and bias mitigation are rigorously documented for each new indication.

Lead protocol writing and feasibility studies that outline how the AI system will be integrated into real world workflows without disrupting existing clinical operations.

Partner with clinical informatics to develop evaluation frameworks, including statistical analysis plans and clinical utility metrics, that robustly measure the impact of AI driven decisions.

Coordinate with regulatory and medical affairs teams to translate early results into submission ready documentation, preparing the groundwork for potential formal trials and ethics approvals.

Establish monitoring strategies that track model drift, data lineage, and clinical outcomes, enabling rapid detection of signals that require protocol adjustment or pause.

Champion cross functional communication, translating technical constraints into clear clinical guidance and surfacing clinical risks to engineering teams in a timely manner.

Facilitate investigator initiated study design, ensuring that each new indication has a clear value proposition, a defined stakeholder map, and a realistic execution timeline.

Drive the preparation of manuscripts, conference abstracts, and grant proposals that articulate the scientific rationale and potential of the new disease programs.

Implement post launch feedback loops, collecting real world evidence and stakeholder input to iterate on indication strategy and refine AI model outputs.

Champion a culture of safety and transparency, ensuring that every new indication is accompanied by clear documentation of limitations, uncertainties, and mitigation plans.

Define and track leading indicators of clinical adoption, working with commercial partners to align evidence generation with payer and provider needs.

Continuously reassess the portfolio of indications, reallocating resources toward programs demonstrating the strongest clinical signal and feasibility.

Requirements

You must hold an advanced degree in medicine, biomedical informatics, public health, or a closely related quantitative field with a focus on clinical applications.

You must have direct experience designing and launching clinical research programs, with a track record of publications or protocols that moved from concept to execution.

You must have hands on experience with machine learning model outputs in a clinical context, including evaluation of performance, bias, and safety in prospective or retrospective studies.

You must be fluent in regulatory science relevant to clinical AI, including familiarity with FDA guidance, ethical review processes, and data privacy regulations applicable to human subjects research.

You must demonstrate the ability to work autonomously in a flat organization, taking ownership of ambiguous problems without reliance on rigid hierarchies or predefined playbooks.

You must possess exceptional written and verbal communication skills, able to distill complex model behavior and clinical tradeoffs into concise narratives for diverse audiences.

You must be comfortable operating in a fast moving environment where priorities shift rapidly and decisions must be made with incomplete information.

You must have a strong commitment to ethical AI use in healthcare, with evidence of prior work that addresses equity, fairness, and accessibility in clinical settings.

Nice to have

Prior experience publishing in top tier medical or AI conferences specific to oncology or related disease areas.

Experience with multi modal data types such as imaging, genomics, and structured electronic health records.

A network of clinical collaborators in academic medical centers who can provide rapid feedback on proposed studies.

Practical notes

This is a full time role based in our New York headquarters.

The role reports into the medical department of a flat organization.

Travel is not required for this position.

No visa sponsorship is available for this role.

This is an at will employment position.