Senior AI Clinical Research Scientist

Our mission: to eliminate every barrier to mental health.

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

We are looking for a Senior AI Clinical Research Scientist to join our Health Economics & Outcomes Research team. You will lead the design, implementation, and publication of studies that evaluate the safety and efficacy of the next generation of digital mental health tools. You’ll work cross-functionally to evaluate and automate safety monitoring pipelines and run benchmarking studies that compare AI outputs against human-delivered care.

What you’ll be doing:

• Design and execute research studies that evaluate 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 around AI safety performance
• Author and submit high-impact academic manuscripts for peer review and conferences
  
  

What success looks like in this role:

• 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
  
  

What we expect from you:

• PhD in a quantitative field (e.g., Machine Learning, Computer Science, Biostatistics,  Psychology)
• Track record of ≥ 3 first author pubs
• Expertise in LLM, AI/ML model development, validation, and backtesting
• Proficiency in Python and/or R
• Able 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
  
  

What we’d love to see (Bonus):

• 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

The target base salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. 

Benefits provided by Spring Health:

Note: We have even more benefits than listed