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Associate Director – Analytical AI Innovation and Excellence
| Company | Bristol Myers Squibb |
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| Location | Princeton, NJ, USA |
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| Salary | $167540 – $203000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior |
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Requirements
- Master’s or Ph.D. in a relevant quantitative field (Comp Sci, AI, Data Science, Mathematics etc.) or a scientific/engineering focus (Biology, Chemistry, or a related field in engineering) with minimum 5+ years of relevant experience preferred
- Demonstrated hands-on experience with both Analytical AI and Generative AI techniques and platforms. Analytical AI: Deep understanding and practical application of machine learning algorithms (e.g., regression, classification, clustering, reinforcement learning), statistical modeling, and predictive analytics. Generative AI: Proven experience working with large language models (LLMs), transformer models, prompt engineering, rag, and agentic framework.
- Familiarity with pharmaceutical data sources (e.g., clinical trial data, real-world data, claims data, longitudinal data)
- Proven track record applying AI to support decision-making in the pharmaceutical industry.
- Strong programming skills (e.g., Python, R, SQL) and experience with AI/ML libraries/frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) and cloud platforms (AWS, Azure, GCP), and at least one front end development framework (React, Streamlit, Dash, Shiny or similar)
- Excellent project management, problem-solving, and communication skills.
- Ability to work effectively in cross-functional teams.
Responsibilities
- Lead the strategic planning and execution of AI projects, ensuring alignment with organizational goals and priorities.
- Identify and prioritize high-impact AI opportunities, driving innovation and excellence in AI applications across the organization.
- Oversee the end-to-end lifecycle of AI projects, ensuring timely delivery, high quality, and measurable business impact within defined scope and resources.
- Apply hands-on expertise in analytical AI (ML, predictive modeling) and generative AI (LLMs, prompt engineering, agentic framework) to design, develop, validate, and implement solutions.
- Collaborate effectively with data scientists, engineers, domain experts (R&D, Clinical, Commercial, etc.), and IT partners to translate business needs into technical requirements and AI-driven solutions.
- Serve as a key liaison between the AI Innovation & Excellence group and other departments, fostering strong partnerships and ensuring seamless integration of AI solutions.
- Contribute to the identification and evaluation of innovative and effective AI/ML model development and implementation. Advance the business insight extraction via technology relevant to domain specific pharma challenges.
- Support the implementation and adherence to AI governance frameworks and responsible AI principles within project execution.
- Communicate project progress, findings, and technical concepts clearly to project stakeholders and team leadership.
- Advocate for the adoption of AI technologies and methodologies, promoting a culture of innovation and continuous improvement.
- Stay abreast of the latest advancements in AI and related technologies, bringing new ideas and approaches to the organization.
- Represent the organization at industry conferences, workshops, and other forums, sharing insights and contributing to the broader AI community.
- Champion AI best practices in model development, validation, deployment (MLOps concepts), and documentation.
Preferred Qualifications
No preferred qualifications provided.
