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Decision Analytics Consultant- CMC

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: ZS
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business.

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

Role

Supply Chain Consultant - Chemistry Manufacturing & Controls

ZS is looking to hire a Decision Analytics Consultant in ZS  Supply Chain and Manufacturing practice with experience in pharmaceutical drug development and tech transfer. The primary responsibility of this role is to deliver projects in the pharmaceutical CMC development area for ZS clients. This includes serving as a subject matter expert on drug substance and drug product manufacturing in client discussions, managing teams and projects, and contributing to Supply Chain and Manufacturing practice development.

What

You’ll Do
  • Leverage quantitative skills to derive answers to clients  ongoing business analytics and reporting questions
  • Work collaboratively with the client to ascertain the client s specific business information needs
  • Upskill on concepts relevant to solve client problems across modalities
  • Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis
  • Evaluate, assess and analyze the data necessary to provide solutions to the clients  particular business information needs
  • Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used
  • Gain immediate familiarity with client s internal processes
  • Develop expertise within a client analytics area
  • Be available for clients during regular working hours
What You’ll Bring
  • Bachelor s (and often graduate) degree in Chemical Engineering, Mechanical Engineering, Chemistry, Biotechnology or similar degree
  • 6-8 years of experience working in a pharmaceutical CMC organization
  • Hands-on experience with at least one of the functions in CMC development such as Process Chemistry, Process Engineering, Formulation, and Analytical Chemistry
  • Knowledge of key concepts including unit operations, processes, quality by design (QbD), tech transfer, process validation, quality attributes, and regulatory milestones across pharma development
  • Understanding of the different data and information systems such as ELN, LIMS, ERP systems, and LCM or PLM systems
  • Understanding of the CMC related regulatory submission requirements
  • Ability to translate the knowledge of concept in one modality to other modalities, if needed
  • Experience presenting to senior leaders, executives, and audiences with CMC backgrounds
  • Hands-on experience with data analytics with ability to generate insights from data from various sources
  • Ability to lead multiple work streams and demonstrate effective time and project management skills
  • Experience with at least one tech transfer, exposure to analytics, AI and/or technology implementation in CMC preferred
How you’ll grow
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Hybrid working model

ZS is committed to a Flexible and Connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous…

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