Description
Who We Are 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.Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. 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. Our Culture 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.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. The ideal candidate will be able to identify key business challenges and priorities, translate them into high-impact advanced analytics initiatives and drive and deploy innovative solutions that align with strategic business objectives. As a leader, you will oversee collaborative development and deployment of data-driven solutions that enhance operational efficiency, regulatory compliance, and business value, while leading cross-functional teams to achieve measurable impact. Responsibilities: Pharmaceutical Expertise: 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. Process Data Analysis and Management: 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. Root Cause Analysis & Deviation Summaries: 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. Cloud & Digital Innovation: 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. Generative-AI technologies. 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. Leadership & Team Development: Lead and mentor a diverse team of data scientists and software engineers. Drive innovation by fostering a collaborative environment and ensuring alignment with organizational goals. Demonstrate a proven ability to build and manage high-performing teams across geographies. Stakeholder Engagement: Collaborate with cross-functional teams, including R&D, IM, manufacturing, quality assurance, and regulatory affairs, to translate data insights into tangible business value. Ability to align and gain sponsorship from leadership and stakeholders. Ensure solutions are purposefully integrated into business processes to drive adoption and generate measurable impact. 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. Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned. Equal Opportunity EmployerAn Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.