Senior AI Clinical Research Scientist

Employment Type: [Not Specified] Location Type: [Not Specified] Salary: $159,100 - $194,150

Position Overview

Spring Health is revolutionizing mental healthcare by removing barriers to access. Our clinically validated technology, Precision Mental Healthcare, delivers the right care at the right time, tailored to individual needs. We partner with over 450 companies, providing care for 10 million people globally, including well-known brands like Microsoft, Target, and Delta Airlines. Our innovative platform has demonstrated a net positive ROI for employers, with external validation of net savings for customers. We are backed by prominent investors and have achieved a valuation of $3.3 billion.

We are seeking a Senior AI Clinical Research Scientist to join our Health Economics & Outcomes Research team. In this role, you will lead the design, implementation, and publication of studies evaluating the safety and efficacy of next-generation digital mental health tools. You will collaborate cross-functionally to evaluate and automate safety monitoring pipelines and conduct benchmarking studies comparing AI outputs with human-delivered care.

Responsibilities

• Design and execute research studies evaluating the safety and efficacy of clinical AI tools.
• Develop and operationalize automated safety monitoring plans, including real-time signal detection and alerting frameworks.
• Collaborate with engineering and data teams to build feature-rich datasets, curate annotated transcripts, and automate labeling workflows.
• Engage in customer and external-facing interactions to gather requirements and share findings on AI safety performance.
• Author and submit high-impact academic manuscripts for peer review and conferences.

What Success Looks Like

• Submission of 2+ first-author publications or conference papers per year.
• Deployment of at least one fully automated safety monitoring pipeline into production.
• Positive stakeholder feedback on safety protocols and published study quality.

Requirements

• PhD in a quantitative field (e.g., Machine Learning, Computer Science, Biostatistics, Psychology).
• Track record of ≥ 3 first-author publications.
• Expertise in LLM, AI/ML model development, validation, and backtesting.
• Proficiency in Python and/or R.
• Ability to distill complex AI safety findings for both technical and non-technical audiences.
• Self-starter with the ability to independently scope projects and solve novel problems.

Bonus Qualifications

• Prior experience in clinical research settings or working with IRBs/DSMBs.
• Hands-on experience with cloud platforms (AWS, GCP) and MLOps frameworks.
• Demonstrated passion for advancing AI safety and ethics in healthcare.
• Experience building data pipelines and automation scripts.
• Experience with A/B tests.

Company Information

Our Mission: To eliminate every barrier to mental health.

Spring Health is a leading provider of mental health services, partnering with over 450 companies to offer accessible and effective mental healthcare. Our innovative platform and clinically validated approach have earned the trust of major corporations and are recognized for delivering significant ROI for employers. We are funded by prominent investors and are rapidly growing to make mental healthcare accessible to everyone, everywhere.

Application Instructions

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