Senior AI Consultant

About the role

Aizon is a software-as-a-service provider that transforms manufacturing operations in life science industries using advanced analytics and artificial intelligence. Following our recent Series C round of growth funding, we are looking for ambitious new team members motivated to directly impact our future growth and success as we launch what we consider "Aizon 3.0". Aizon is helping pharma manufacturers and CDMOs make better decisions in GMP operations. What makes us different from other manufacturing platforms? - We help operations leaders and engineers avoid endless cycles of chasing data in disparate and heavy-handed systems and rapidly understand how to run their manufacturing processes better. - We're solving multiple problems in GMP operations that cost manufacturers millions yearly while accelerating their digital maturity journey. One of our unique capabilities is the ability to operationalize the use of predictive AI models in real-time without a big data science staff. - We're backed by both industry and software investor firms like NewVale Capital, Atlantic Bridge, Danaher, Honeywell, CrossLink, and UnCork, with solid industry and technology expertise. Our mission is to improve global health by optimizing how medicines are manufactured so that pharma and biotech companies can provide patients worldwide with the right medicine at the right time and price. Join us if you are motivated to directly impact our company's success and growth path forward and, more importantly, by positively contributing to the life science industry and deserving patients worldwide. The Position Report to: VP of Aizon Consulting Services. The Senior Artificial Intelligence Consultant will inspire our customers through technology, using their growing knowledge of Artificial Intelligence, Cloud Computing, and Software as a Service.

Requirements

• Excellent academic background (minimum MSc) in Applied Mathematics, Statistics, Advanced Analytics, or a related quantitative field. Expertise in Data Science and Machine Learning is highly desirable. A degree from a reputable US university and top academic performance are strongly preferred.
• At least 4+ years in a similar position (customer-facing, participating in projects with clients).
• Experience in pharma-manufacturing, including knowledge in optimizing pharmaceutical processes.
• Solid experience with Python, JavaScript, React, and a decent understanding of programming principles and techniques.
• Comfortable with Machine Learning related libraries such as pandas, scikit-learn, TensorFlow, Keras, and big data frameworks such as Spark.
• Experience working with both relational and NoSQL databases.
• Proficient in spoken and written English.
• Previous project management experience is advantageous.
• Sound knowledge of various operating systems and databases.
• Experience in data visualization and dashboard creation tools.
• Knowledge of Biotechnological Processes (e.g., fermentation, chromatography, viral inactivation) and Regulations.
• Experience in manufacturing (not laboratory) and functional knowledge of equipment such as bioreactors, sterilizers, analyzers, scales, and related SW.

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