Head of Data Analytics
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Head of Data Analytics

King of Prussia, PA

The Center for Breakthrough Medicines is on track to be the largest single-site cell and gene therapy contract development and manufacturing organization in the world. Our comprehensive service offering accelerates speed to market through supply chain disruption mitigation strategies, end-to-end program management expertise and unique platform technology with the ability to follow a molecule from idea to commercialization. CBM’s integrated approach provides high quality and consistent end-to-end manufacturing capability including: Process and Analytical Development; Plasmid DNA production; Viral Vector Production of Lentivirus; AAV and Adenovirus; Testing and Analytics; Autologous, Allogeneic and Gene-edited Cell Therapy Bioprocessing; and Cell banking. CBM’s horizontal and vertical integration provides one source throughout a product’s life cycle.

CBM’s mission is to accelerate the delivery and affordability of lifesaving and life-changing therapies from discovery to market by offering a complete solution for the development and commercialization of cell and gene therapies.

CBM is located just outside of Philadelphia in the Heart of Cellicon Valley on The Discovery Labs campus set on 300 acres with 2.4 million square feet of life sciences lab and manufacturing space, allowing clients to scale their development and manufacturing needs without ever having to change sites, while providing employees a true community campus experience focused exclusively on life sciences.

The Discovery Labs is a Global Platform Company inclusive of CBM, The Discovery Labs Properties, UniteIQ incubator labs, and The Colony, a unique investment and resource model enabling groundbreaking therapies to be brought to life.

Summary

The Center for Breakthrough Medicines (CBM) is seeking a Head of Data Analytics to organize and manage the full data lifecycle of research, analytical and manufacturing data generated from CBM’s research, development and manufacture of viral vector and cell and gene therapies. The ideal candidate will have a proven track record and seeks the opportunity to establish an integrated data architecture and digital roadmap for the digitization of cell and gene therapy manufacturing, encompassing enterprise, analytical and automation systems. The architecture will address the fundamental needs of GMP manufacturing and span to analytic capabilities to improve the performance and predictability of processes using machine learning and statistics. The candidate will possess strong planning, project management, budgeting, people staff development skills required to succeed in this assignment. The position will interact closely with the CBM Leadership Team to establish consensus on execution of the digital roadmap and to partner on digitization implementation projects.

Responsibilities

  • Build, manage, and develop a world-class data analytics team that is technically strong, client focused, innovative, and adherent to the highest standards without compromise
  • Lead the IS/IT/digital team to identify/design, and deploy core informatics solutions
  • Recruit data scientists
  • Design and build the CBM data lake in support of AI based Deep Neural Networks
  • Organization and presentation of data for operations, quality, clients, scientific analysis, statistical analysis
  • Enable three-way knowledge transfer between Research, Development, and Technical Operations
  • Establish leadership across industry (such as IQ consortium) to advance the use of predictive and digital technologies in the development and MFG phases

Qualifications

  • Physical and logical data models for CDMO operations
  • Experience applying IoT devices to in-line biological manufacturing to support deeper process analyses
  • Working knowledge of CDMO manufacturing and analytical systems, preferably with implementation experience; ex:data historians, eBR/MES, LIMS, BMS, CMMS, etc.
  • Basic understanding of biological manufacturing in a GMP environment
  • Understanding of sequencing and other genetic data
  • Understanding of UIX for data analytics and reporting
  • Experience validating systems for GxP regulations
  • Sound understanding of data security
  • Familiarity with biological manufacturing equipment, both upstream and downstream

Compensation: TBD

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