• MindArch Health is a transformative social impact company focused on reducing rates of mental and behavioral health issues through a research-based socioecological prevention approach.

• We build capacity in organizations and schools to enact positive, system-wide changes that not only reduce risks but also reverse the rising trends in mental health problems. Utilizing psychological and behavioral health data, our comprehensive approach involves assessment, data analytics, and participatory planning.

• We EQUIP organizations with insights that strategically protect the entire population against the negative experiences of stress.

• Our mission is to create environments that proactively enhance community mental health, reducing the risk of crises and fostering positive well-being.

• Socioecological Model Development: Assist in the evaluation, research and development of a socioecological model designed to predict the most effective protective behavioral solutions to reduce risks of mental and behavioral health disorders and guide teams in creating and executing an implementation plan.

• Community Outreach: Conduct outreach efforts to conduct interviews for ongoing or social market research to better understand the feelings and needs in areas we support. 

• Data Collection and Preprocessing: Assist in the collection and preprocessing of data related to mental and behavioral health from various sources, such as surveys, national data sets, and academic literature.

• Data Analysis: Perform exploratory data analysis to identify patterns and trends in the data. Collaborate with the team to generate insights and actionable recommendations.

• Machine Learning: Work on developing machine learning models to predict and analyze factors affecting mental and behavioral health in young individuals. This includes feature selection, model training, and evaluation.

• Data Visualization: Create visually compelling and informative data visualizations to communicate findings and insights effectively to stakeholders.

• Collaboration: Collaborate with cross-functional teams, including psychologists, educators, and software developers, to integrate data-driven solutions into our products and services.

• Research: Read and evaluate the latest research in mental and behavioral health, data analytics, machine learning, public mental health, population health and other relevant areas as needed. Share research findings in the form of presentations, reports, and discussions. 

  • Other areas of need as discussed or based on expressed interest.

• Pursuing or recently completed a bachelor's or master's degree in a related field such as Sociology, Psychology, Research, Public Health, Computational Psychology, Data Sciences, Health Informatics, Software Engineering, UX/UI, Marketing, or a related discipline.

• A passion for using data to address complex social issues, particularly in the context of mental and behavioral health.

• Excellent communication and teamwork skills.

• Ability to work both independently and collaboratively, and take initiative.

• Previous experience with data analysis is a plus but not required.

The internship program runs for approximately 12 weeks including 1 onboarding week and 1 intern showcase week leaving 10 weeks for project assignments. The schedule of the internship generally follows the Stony Brook University calendar.

• As a remote (online) internship, when you work is relatively flexible.

• However, there are some set intern hours throughout the week where all interns will be expected to be online and reachable.