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Responsibilities:

  • Design, build, and maintain data pipelines to analyze complex behavioral health datasets.
  • Implement and fine-tune AI/ML models to identify clinical trends and predictive patterns.
  • Partner closely with the clinical team to explore clinical hypotheses and run statistical analyses.

Requirements:

  • Deep experience with Python or R and data science libraries like Pandas, NumPy, and Scikit-Learn.
  • Solid experience cleaning and structuring messy real-world datasets.
  • Ability to explain complex technical concepts clearly in writing.

Nice-to-Haves:

  • Prior experience co-authoring scientific publications or technical whitepapers.
  • Familiarity with healthcare data privacy standards like HIPAA.
  • Experience deploying NLP, LLM, or predictive models.

Client - Behavioral Healthcare Company

Our client is a behavioral health technology company using data science and AI to improve mental healthcare outcomes. They are a growing team that values collaboration with clinical experts to drive impact.

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