Senior AI Clinical Research Scientist

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Mental Health, Healthcare Technology, Digital HealthIndustries

Requirements

Candidates must possess a PhD in a quantitative field such as Machine Learning, Computer Science, Biostatistics, or Psychology. A proven track record of at least three first-author publications is required, along with expertise in LLM, AI/ML model development, validation, and backtesting. Proficiency in Python and/or R is essential, and the ability to communicate complex AI safety findings to diverse audiences is expected. The ideal candidate will be a self-starter capable of independently scoping projects and solving novel problems. Bonus qualifications include 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, and experience with A/B tests.

Responsibilities

The Senior AI Clinical Research Scientist will lead the design, implementation, and publication of studies evaluating the safety and efficacy of digital mental health tools. Responsibilities include developing and operationalizing automated safety monitoring plans with real-time signal detection and alerting frameworks. The role involves collaborating with engineering and data teams to build datasets, curate annotated transcripts, and automate labeling workflows. Additionally, the scientist will engage in customer and external-facing interactions to gather requirements and share findings on AI safety performance, and author and submit high-impact academic manuscripts for peer review and conferences.

Skills

Clinical Research

Health Economics

Outcomes Research

Digital Mental Health Tools

Safety Monitoring

Benchmarking

Efficacy Evaluation

Research Study Design

Research Study Implementation

Publication

Spring Health

Personalized mental health solutions for employers

About Spring Health

Spring Health offers personalized mental health solutions to employers and health plans, focusing on enhancing employee well-being. Their Precision Mental Healthcare system tailors support to individuals, providing options like digital resources, therapy, and medication. Users receive a customized care plan after a brief assessment, allowing them to schedule appointments and access wellness exercises easily. The goal is to improve workplace mental health by providing effective and accessible resources.

New York City, NoneHeadquarters

2016Year Founded

$452.3MTotal Funding

SERIES_ECompany Stage

HealthcareIndustries

1,001-5,000Employees

Benefits

Retirement benefits

Paid time off

Healthcare benefits

Insurance benefits

Work-life benefits

Mental health benefits

Risks

Increased competition from digital mental health platforms offering similar services at lower costs.

Rapid technological advancements may outpace Spring Health's current AI capabilities.

Potential data privacy concerns could impact user trust and compliance costs.

Differentiation

Spring Health uses Precision Mental Healthcare for personalized mental health solutions.

The company offers a comprehensive platform with digital support, therapy, and medication.

Spring Health is the first to earn nationwide third-party accreditation for clinical care.

Upsides

Spring Health raised $100M in Series E funding, valuing it at $3.3 billion.

The company collaborates with major brands like Microsoft and Target.

Spring Health's Community Care solution addresses mental health equity and social determinants.

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