Research Scientist II

$120,000 - $150,250/Yr

Spring Health - New York, NY

Full-time - Senior

New York, NY

Hospitals

About the position

The Research Scientist II at Spring Health will play a crucial role in the Health Economics and Outcomes Research team, focusing on the development and implementation of data products that enhance mental healthcare. This position involves collaborating with a diverse team to transform clinical data into actionable insights, contributing to the mission of making mental health care accessible and effective for all individuals.

Responsibilities

• Publish novel, high impact academic research
• Develop and execute study designs for prospective comparative efficacy studies
• Conduct exploratory academic research to develop novel algorithmic approaches for optimizing clinical outcomes
• Conduct comprehensive program evaluations for tools and trainings implemented throughout the network of psychologists and psychiatrists
• Iterate and improve existing statistical approaches used to develop care plans for individual patients that maximize the likelihood of remission
• Create secure data deliverables across multiple contexts, such as claims analyses/financial ROI, longitudinal treatment outcomes, provider quality, and risk stratification algorithms.

Requirements

• Degree in mental health research, health economics, or related field (e.g. Developmental Psychology, Public Health, Epidemiology, Sociology)
• Track record of peer-reviewed, academic publications (>10) including first author publications (>5)
• Fluency in a statistical programming language (R, Python)
• Strong presentation skills — fluently tell a compelling clinical or business story with data
• Strong written communication skills — quickly compose client-facing communications or publications for peer-review
• Initiative and ability to self-direct projects and solve unconventional problems.

Nice-to-haves

• Demonstrated passion for, and understanding of, mental illness and broader U.S. healthcare system
• Exceptional statistical competency in multilevel, longitudinal data analysis
• Experience with GitHub, SQL, parallel/distributed computing, cloud computing, and other data science toolkits
• Experience using data visualization techniques to present key findings
• Ability to quickly and independently pick up concepts and skills
• Experience working cross-functionally with operations, product, engineering, and design teams.

Benefits

• Stock options
• Health savings account
• Paid holidays
• Health insurance
• Dental insurance
• Flexible spending account
• Paid time off
• Parental leave
• Vision insurance
• 401(k) matching
• Professional development assistance