UNKNOWN

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QUALIFICATION - EDUCATIONAL AND PROFESSIONAL EXPERIENCE: Master's degree in Social Work or related field required with: CASAC Level 2 or Advanced-level CASAC (Credentialed to provide clinical Supervision under OASAS guidelines) & prior supervisory experience required, OR. Minimum five (5) years full-time experience in substance use field, including direct service; knowledge, experience, skills working with populations with co-occurring disorders; minimum two (2) years' experience supervising clinical staff; computer competent.

YEAR

LESC HOUSE INC

Clinical Supervisor, Residential Treatment 820 Model

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You will work at the intersection of machine learning, clinical science, and life sciences, developing novel models using one of the world’s largest clinical and molecular datasets and translating them into impactful applications across clinical research, drug development, and partner programs. Research Excellence: A strong track record of original, high-impact research demonstrated through peer-reviewed publications in leading machine learning, computer vision, NLP, or related AI venues is required.

Tempus AI

Staff AI Scientist, Foundation Models

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You will work at the intersection of machine learning, clinical science, and life sciences, developing novel models using one of the world's largest clinical and molecular datasets and translating them into impactful applications across clinical research, drug development, and partner programs. Research Excellence: A strong track record of original, high-impact research demonstrated through peer-reviewed publications in leading machine learning, computer vision, NLP, or related AI venues is required.

Tempus AI Inc

Tempus

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Bonus Points: Experience with Google Cloud, Google ADK, Model Garden, or equivalent managed AI platforms; semantic routing; open-weight models; Model Context Protocol (MCP); reusable agent-development frameworks; Azure integrations; or payments, fintech, or other environments where correctness, auditability, and controlled access are essential. AI-Enabled Engineering: Hands-on experience using AI-assisted development tools as part of your day-to-day engineering workflow to develop, debug, test, evaluate, and improve software while applying sound engineering judgment to AI-generated solutions.

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