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Associate Director, Process Analytics - Holly Springs, United States - FUJIFILM Diosynth Biotechnologies
Description
The Associate Director, Process Analytics is the system owner for this function, focusing on the drug substance manufacturing at FDBN. This role sets up and maintains
informatics systems for process analytics purposes, leads projects to create new process analytics systems, and expands the capabilities and functionalities.
This role also supports Process Science for the drug substance group, and ensures the systems support the business processes in place for the site.
Additionally, this role creates multivariate models and provides training in the use of process analytics systems that are currently in place
Major Accountabilities
• Builds the Process Analytics team and develops the team to deploy digital solutions for real-time process monitoring and multivariate statistical process control
• Supervises the Analytics team and sets the direction for individual and team goals
• Leads the architecture, design, and deployment of site's process data platforms to allow machine learning models, data science applications, and other custom applications and dashboards
• Leads the Process Analytics team in developing and maintaining internal data-focused webapps to support different stakeholders
• Seeks to continuously optimize the data management of manufacturing processes while focusing on digital solutions
• Partners with users (internal and clients) to define functional specifications and process requirements from a process data perspective,
specifically process data transmittance (sensor, control, and operation data)
• Partners with users (internal and clients) for data used to support continuous manufacturing and validation, continuous improvement and regulatory commitments
• Leads innovations and systems improvement initiatives in the Process Analytics space (e.g., new in-line and on-line Process Analytical Technologies
(PAT) solutions for biopharmaceutical processes with a strong focus on drug substance production process monitoring and control)
• Trains relevant stakeholders on PAT tools and respective analytical approaches (e.g., multivariate models and other statistical process methods)
• Establishes systems and procedures to enable proactive process monitoring, analysis, and reporting of manufacturing process data
• Provides team support for investigations, root cause analysis, and optimization with data support and analysis
• Functions as senior technical data leader and contact for process data, statistics, modeling, and PAT activities (e.g., automation interface between PAT analyzers and sensors and data systems)
• Leads team in curating critical knowledge and developing best practices in Process Analytics space
• Serves as a key stakeholder in business development and defining the future large-scale operations model, including site's digital roadmap of GxP process data
• Designs and leads the development of applications and methods with model for process characterization and scale-up/out (e.g., transition analysis to monitor column integrity, e-chromatogram review)
• Coaches and mentors' direct reports and team members to foster professional development and growth
• Enforces and ensures team adheres to company policies and procedures
• Participates in the recruitment process to attract talent
• Collaborates with other departments (e.g., HR, Talent Acquisition) and provides input to develop retention strategies
• Addresses employee concerns and partners with HR for resolution, as needed
• Evaluates team performance and address gaps appropriately
• Other duties, as assigned
Knowledge, Skills and Abilities
• Strong knowledge of US and international regulatory standards and ICH guidelines especially with regards to data integrity
• Knowledge of PAT methodologies and implementation
• Knowledge of SIMCA-Online, TIBCO Statistical, Visual Basic and Git version control
• Strong attention to detail, highly organized, and solution-oriented mindset
• Ability to multitask in a fast-paced, highly interactive environment
• Ability to adapt communication style to differing audiences and advise others on difficult matters
• Effective communication, both written and oral
• Ability to effectively present information to others
• Ability to provide feedback to others, including leaders
• Advanced problem-solving skills
• Demonstrated ability to hire and develop top technical talent to build and lead a high performing team, projects, programs while directing allocation of resources
• Must be willing to travel domestic and international, 10-20%
Minimum Requirements
• Bachelor's degree in Engineering, Scientific or Mathematics field with 15 years of relevant experience (e.g., Statistical Control of Manufacturing Processes or Development of Data Collection/Management Systems); or
• Master's degree with 12 years of relevant experience
• Previous management or supervisory experience
• Working-knowledge of structured query language (SQL) and experience with data science and the Python data science ecosystem (e.g., NumPy, SciPy, pandas, Scikit-learn, Jupyter Notebook)
• Prior experience with data mining, management and visualization, statistical process control, and manufacturing processes
Preferred Requirements
• Experience working in a Good Manufacturing Practices (GMP) environment
• Experience using IT systems to support data acquisition, management, and evaluation
• Prior experience collaborating and interacting with a global team
• Experience with multivariate data analysis
