About Us
BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health.
Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities.
We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science.
With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options.
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About Our Team
BioMarin's Technical Operations group is responsible for creating our drugs for use in clinical trials and for scaling production of those drugs for the commercial market.
These engineers, technicians, scientists and support staff build and maintain BioMarin's cutting-edge manufacturing processes and sites, provide quality assurance and quality control to ensure we meet regulatory standards, and procure the needed goods and services to support manufacturing and coordinating the worldwide movement of our drugs to patients.
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Job Description: Director, Head of Technical Operations Data Sciences and Engineering
Summary:
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.
The ideal candidate will possess extensive experience in process and product development, with the ability to drive innovation and optimization in predictive analytics covering all aspects of technical operations.
They will also have a strong background in data science and be adept at leveraging both current and emerging technologies, such as AI, machine learning, and cloud computing, to address complex challenges in pharmaceutical development and manufacturing.
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.
* Ensure data is accessible and ready for analysis to inform high quality decision-making.
* Develop both prototype and production-grade software for advanced data visualization, as well as rigorous statistical and AI-based approaches for monitoring and controlling process and equipment performance.
* 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.
* Deploy and manage digital tools for real-time process monitoring and predictive analytics to improve product quality and operational resilience.
* 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.