We are seeking an experienced Director of Data Science and Engineering to lead and shape our data-driven technical strategies, with a focus on developing and delivering impactful solutions across the entire operations value chain.
Responsibilities:
* Leverage your deep understanding of processes such as drug substance and drug product development/manufacturing, and packaging, to collaborate with process scientists and drive process optimization and innovation, improve efficiencies and resilience in supply chain.
* Establish and lead the development of data pipelines for processing and managing large technical datasets from development to manufacturing and quality operations utilizing enterprise cloud and analytics capabilities.
* Supports analysis of process deviations using statistical techniques and data-driven insights to identify root causes and provide actionable recommendations for process improvements and corrective actions.
* Champion cloud technologies and digital solutions to optimize processes, enhance visibility, and ensure compliance with regulatory standards.
* Lead the implementation of generative AI solutions to enhance data-driven decision-making, identify high-value use cases, and deploy AI-driven tools for process optimization and innovation across manufacturing and supply chain operations.
Qualifications:
* Bachelor's or advanced degree (preferred) in Data Science, Computer Science, Engineering (Chemical Engineering, Biotechnology, or a related field)
* 15+ years of experience in the biotechnology industry with demonstrated leadership in data science and engineering
* Strong scientific understanding of pharmaceutical manufacturing processes
* Demonstrated leadership in managing teams of data scientists, engineers, and cross-functional stakeholders
* Extensive experience in designing and managing cloud-based data pipelines, with hands-on expertise in platforms like Databricks and working across multi-cloud environments (AWS, GCP, Azure)
* Strong Proficiency in programming languages such as Python, R, and SQL, and experience with data visualization tools like R-Shiny/Dash/Streamlit/D3.js
* Solid mathematical foundations in machine learning and AI, with a deep understanding of probability, statistics, optimization algorithms and architecture for developing predictive models and AI applications
* Strong communication and stakeholder management skills with experience driving cross-functional initiatives
Salary Range: $180,000 - $220,000 per year