Formulate and explore research questions related to wellbeing in organizations and communities.
Work with real or simulated datasets to uncover patterns, relationships, and insights.
Develop models, simulations, or analytical tools using AI/ML methods.
Explore approaches such as causal inference, agent-based modeling, or LLM-based analysis where appropriate.
Communicate findings through reports, visualizations, or lightweight prototypes.
Collaborate with an interdisciplinary team and incorporate feedback into your work.

Requirements

Demonstrated experience developing AI/ML tools or systems.
Proficiency in Python and common data science or machine learning libraries.
Strong problem-solving skills and ability to work in open-ended, ambiguous settings.
Interest in applying AI to human-centered, real-world problems.
Experience with causal inference, probabilistic modeling, or time-series analysis.
Experience with NLP, LLMs, or working with unstructured text data.
Familiarity with agent-based simulations or complex systems modeling.
Background or interest in social sciences such as psychology, sociology, or organizational behavior.
Strong interest in creative, unconventional, or underexplored research directions.

Benefits

medical, dental, and vision insurance
paid time off benefits (including holiday pay and sick time)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML toolsPythondata science librariesmachine learning librariescausal inferenceprobabilistic modelingtime-series analysisNLPLLMsagent-based modeling

Soft Skills

problem-solvingcollaborationcommunicationcreativityadaptability