
Associate Director, AI and Machine Learning
Posted Jun 19

Posted Jun 19
This is a fully remote position, open to applicants in United States.
• Spearhead the strategy, design, and execution of AI and machine learning solutions to facilitate R&D digital transformation and enhance operational efficiency.
• Promote the integration of AI within R&D by pinpointing high-impact use cases and constructing compelling business cases.
• Create and implement AI/ML models, tools, and platforms aimed at boosting the efficiency of digitalization systems.
• Assess emerging AI technologies and evaluate their relevance in regulated pharmaceutical R&D settings.
• Advanced degrees in statistics, biostatistics, computer science, data science, machine learning, bioinformatics, engineering, mathematics, or a similar quantitative discipline.
• Proven experience in applying AI, machine learning, advanced analytics, or data science within pharmaceutical, biotechnology, healthcare, clinical development, or other regulated sectors.
• Strong practical experience with contemporary data science, AI, machine learning models, tools, and platforms.
• Proficient in programming languages typically utilized for data science and AI, such as Python and R.
• Familiarity with machine learning and deep learning frameworks like scikit-learn, PyTorch, TensorFlow, or equivalent tools.
• Working knowledge of generative AI, large language models, prompt engineering, retrieval-augmented generation, and AI agents.
• Experience with AI-native programming methodologies, including the use of AI coding assistants.
• Knowledge of cloud-based data and AI platforms, such as AWS, Azure, or Databricks.
• Understanding of MLOps, encompassing model development, validation, deployment, monitoring, and lifecycle management.
• Awareness of regulatory standards, data privacy, model validation, responsible AI practices, and governance considerations in pharmaceutical R&D.
• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness
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Onsights.io
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