Follow Your Genki to North America's largest, state-of-the-art Life Science Manufacturing Facility & CDMO
The work we do at FDB has never been more important—and we are looking for talented candidates to join us. We are growing our locations, our capabilities, and our teams, and looking for passionate, mission-driven people like you who want to make a real difference in people’s lives. Join FDB and help manufacture the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. We are proud to cultivate a culture that will fuel your passion, energy and drive - what we call Genki.
Join us
We are growing our locations and are investing more than $2 billion into establishing a new large-scale manufacturing site for biopharmaceuticals in the United States to accelerate the growth of our Bio CDMO (Contract and Development Manufacturing Organization) business. This will be the largest end-to-end cell culture CDMO provider in North America.
The new site will offer end-to-end solutions to our customers looking to manufacture biopharmaceuticals in the US. In addition to drug substance manufacture, it will also provide automated fill-finish and assembly, packaging, and labeling services. The new state-of-the-art facility is located in Holly Springs, North Carolina, United States.
External USAbout This Role
The Director, Process Analytics sets the strategic direction and execution of Manufacturing Intelligence/Process Analytics solutions across FUJIFILM Diosynth Biotechnologies Holly Springs (FDBN) end-to-end manufacturing value chain (Drug Substance, Drug Product, and Finished Goods). This role establishes and maintains informatics systems for process analytics purposes, leads projects to create new process analytics systems, and expands the capabilities and functionalities. This role supports Process Science, and ensures the systems are effectively implemented to 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 and develops the Process Analytics team to deploy digital solutions for real-time process monitoring and multivariate statistical process controlEstablishes the vision and direction for the Process Analytics team and individual to drive innovation and growthProvides strategic leadership to the architecture, design, and deployment of the site's process data platforms, and oversees the integration of machine learning models, data science applications, and custom applications and dashboards to enhance business capabilities and innovationLeads the Process Analytics team in developing and maintaining internal data-focused webapps to support different stakeholdersSeeks to continuously optimize the data management of manufacturing processes while focusing on digital solutionsPartners 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 commitmentsLeads 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 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 dataOversees and provides support for investigations, root cause analysis, and optimization with data support and analysisFunctions 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)Drives the team’s efforts in curating critical knowledge and developing best practices in Process Analytics domainServes as a key stakeholder in business development and defining the future large-scale operations model, including site's digital roadmap of GxP process dataDesigns 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)Serves as a mentor and oversees development of employees to ensure the team is positioned for growthPartners with HR, Talent Acquisition, and other stakeholders to attract talent and develop retention strategiesEvaluates the team’s performance, implements measures to improve productivity and engagement, and develops high-potential employeesOther duties, as assignedKnowledge, Skills and Abilities
Strong knowledge of US and international regulatory standards and ICH guidelines especially with regards to data integrityKnowledge of PAT methodologies, implementation, data science, SIMCA-Online, TIBCO Statistical, Visual Basic and Git version controlStrong attention to detail, highly organized, and solution-oriented mindsetAbility to multitask in a fast-paced, highly interactive environmentAbility to adapt communication style to differing audiences and advise others on difficult mattersEffective communication, both written and oralAbility to effectively present complex information to othersAbility to provide feedback to others, including leadersAdvanced problem-solving skillsDemonstrated ability to hire and develop top technical talent to build and lead a high performing team, projects, programs while directing allocation of resourcesMust be willing to travel domestic and international, up to 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); orMaster’s degree with 12+ years of relevant experience 5-7 years of previous management or supervisory experiencePrior experience with data mining, management and visualization, statistical process control, and manufacturing processesExperience with different machine learning algorithms and command of data science ecosystemPreferred Requirements
Experience working in a Good Manufacturing Practices (GMP) environmentExperience using IT systems to support data acquisition, management, and evaluationPrior experience collaborating and interacting with a global teamExperience with multivariate data analysisWorking Conditions & Physical Requirements
Will work in environment which may necessitate respiratory protection. X No Yes
May work in Mechanical/Production spaces that may require hearing protection and enrollment in a hearing conservation program. X No Yes
Will work in environment operating a motor vehicle or Powered Industrial Truck. X No Yes
Ability to discern audible cues. X No Yes
Ability to inspect or perform a task with 20/20 corrected vision, visual acuity, including distinguishing color. X No Yes
Ability to ascend or descend ladders, scaffolding, ramps, etc. X No Yes
Ability to stand for prolonged periods of time. X No Yes frequency/minutes (If yes, may specify frequency/duration: up to 15, 30, 120, 240 minutes)
Ability to sit for prolonged periods of time. X No Yes frequency/minutes (If yes, may specify frequency/duration: up to 15, 30, 120, 240 minutes)
Ability to conduct activities using repetitive motions that include writs, hands and/or fingers. X No Yes
Ability to operate machinery and/or power tools. X No Yes
Ability to conduct work that includes moving objects up to X pounds. X No Yes If yes, 10 lbs. 33 lbs.
Ability to bend, push or pull, reach to retrieve materials from 18” to 60” in height, and use twisting motions. X No Yes
Will work in warm/cold environments. X No Yes Range (If yes, specify approximate temperature ranges.)
Will work in outdoor elements such as precipitation and wind. X No Yes
Will work in small and/or enclosed spaces. X No Yes
Will work in heights greater than 4 feet. X No Yes
FDBN is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identify or any other protected class. If an accommodation to the application process is needed, please email FDBN_PNC@fujifilm.com.
To all agencies: Please, no phone calls or emails to any employee of FUJIFILM about this requisition. All resumes submitted by search firms/employment agencies to any employee at FUJIFILM via-email, the internet or in any form and/or method will be deemed the sole property of FUJIFILM, unless such search firms/employment agencies were engaged by FUJIFILM for this requisition and a valid agreement with FUJIFILM is in place. In the event a candidate who was submitted outside of the FUJIFILM agency engagement process is hired, no fee or payment of any kind will be paid.
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