Computational Modeling Associate Consultant - CMC

Posted Yesterday
Be an Early Applicant
5 Locations
Hybrid
120K-137K Annually
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
Develop and deploy first-principles, mechanistic, and AI/ML models for pharmaceutical CMC and process development. Support process understanding, scale-up, technology transfer, manufacturing optimization, validation, and decision-making. Integrate models with scientific and manufacturing systems, interpret results for stakeholders, lead technical workstreams, and create reusable computational modeling capabilities for pharmaceutical clients.
Summary Generated by Built In
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. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. 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. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
Insights & Analytics
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.
ZS is seeking a Computational Modeling Expert to help pharmaceutical clients apply advanced modeling, simulation, and AI/ML to complex CMC and process development challenges. In this role, you will combine deep scientific and engineering expertise with first-principles and data-driven modeling to improve process understanding, accelerate development, support scale-up and technology transfer, and enable more informed decision-making. You will work closely with scientists, engineers, data teams, and senior CMC stakeholders to translate complex technical questions into scalable computational solutions that can be integrated into real-world scientific and manufacturing workflows.
What You'll Do
  • Partner with pharmaceutical CMC clients to identify high-value opportunities for computational modeling, advanced analytics, and AI/ML across process development, scale-up, manufacturing, and technology transfer.
  • Develop and apply first-principles and mechanistic models, including CFD, DEM, computational chemistry, and other physics-based approaches, to solve complex CMC and process development challenges.
  • Build and apply AI/ML models that complement first-principles approaches and improve process understanding, prediction, optimization, and decision-making.
  • Translate scientific and business questions into modeling strategies, analytical approaches, and implementation plans.
  • Assess available experimental, process, and manufacturing data and determine the appropriate data, modeling methods, and computational techniques required to address client needs.
  • Develop robust, reusable, and production-ready modeling solutions, including code development, testing, deployment, documentation, versioning, and ongoing model lifecycle management.
  • Integrate computational models with relevant CMC data sources and systems, including ELN, LIMS, ERP, and PLM platforms.
  • Interpret modeling results and translate complex technical findings into clear recommendations for scientists, engineers, and senior CMC leaders.
  • Support model validation, adoption, and integration into scientific and operational workflows.
  • Apply modeling expertise across modalities and manufacturing processes, adapting approaches to new scientific and technical challenges as needed.
  • Lead technical workstreams and collaborate with multidisciplinary teams across process development, data science, engineering, manufacturing, and technology.
  • Contribute to the development of ZS capabilities, methodologies, and reusable assets in computational modeling and digital CMC.

What You'll Bring
  • Bachelor's, Master's, or PhD in Chemical Engineering, Mechanical Engineering, Materials Science, Chemistry, Biotechnology, Computational Science, or a related quantitative or scientific discipline.
  • At least 2.5 years of relevant experience, preferably within pharmaceutical CMC, process development, manufacturing, or a closely related environment.
  • Hands-on experience developing first-principles or mechanistic models, such as CFD, DEM, computational chemistry, process models, or other physics-based modeling approaches, for pharmaceutical process development or manufacturing.
  • Experience developing and applying AI/ML models to scientific, engineering, or process development problems.
  • Strong programming skills and experience developing production-quality modeling code and managing models across their lifecycle.
  • Strong understanding of pharmaceutical CMC concepts, including unit operations, process development, Quality by Design, technology transfer, process validation, critical quality attributes, and development and regulatory milestones.
  • Experience working with scientific and manufacturing data and familiarity with systems such as ELN, LIMS, ERP, or PLM.
  • Ability to combine first-principles modeling, data-driven modeling, and domain expertise to solve complex scientific and engineering problems.
  • Ability to translate modeling approaches and technical results into clear business and scientific recommendations.
  • Experience communicating with senior scientific, technical, and business stakeholders.
  • Ability to lead multiple technical workstreams and effectively manage priorities, timelines, and deliverables.
  • Ability to apply expertise developed in one modality or process area to new modalities and scientific contexts.
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

Preferred Qualifications
  • Advanced degree in a relevant engineering, scientific, or computational discipline.
  • Experience with hybrid modeling approaches that combine mechanistic models with AI/ML.
  • Experience deploying computational models into production or decision-support environments.
  • Familiarity with CMC regulatory submission requirements and expectations for model validation, traceability, and documentation.
  • Experience across multiple pharmaceutical modalities, such as small molecules, biologics, cell and gene therapies, or other advanced therapies.
  • Consulting or client-facing experience in pharmaceutical R&D, CMC, or manufacturing.

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

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States , visit ZS US office locations | Where we work | ZS .
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Salary: $120,000.00 - $137,000.00

Skills Required

  • Bachelor's, master's, or PhD in chemical engineering, mechanical engineering, materials science, chemistry, biotechnology, computational science, or a related quantitative or scientific discipline
  • At least 2.5 years of relevant experience, preferably in pharmaceutical CMC, process development, manufacturing, or a closely related environment
  • Hands-on experience developing first-principles or mechanistic models, including CFD, DEM, computational chemistry, process models, or other physics-based approaches
  • Experience developing and applying AI/ML models to scientific, engineering, or process development problems
  • Strong programming skills and experience developing production-quality modeling code
  • Experience managing computational models across their lifecycle
  • Strong understanding of pharmaceutical CMC concepts, including unit operations, process development, Quality by Design, technology transfer, process validation, critical quality attributes, and regulatory milestones
  • Experience working with scientific and manufacturing data
  • Familiarity with ELN, LIMS, ERP, or PLM systems
  • Ability to combine first-principles modeling, data-driven modeling, and domain expertise
  • Ability to translate modeling approaches and technical results into clear business and scientific recommendations
  • Experience communicating with senior scientific, technical, and business stakeholders
  • Ability to lead multiple technical workstreams and manage priorities, timelines, and deliverables
  • Ability to apply expertise across new modalities and scientific contexts
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach
  • Advanced degree in a relevant engineering, scientific, or computational discipline
  • Experience with hybrid modeling combining mechanistic models with AI/ML
  • Experience deploying computational models into production or decision-support environments
  • Familiarity with CMC regulatory submission requirements and model validation, traceability, and documentation expectations
  • Experience across multiple pharmaceutical modalities, such as small molecules, biologics, cell and gene therapies, or advanced therapies
  • Consulting or client-facing experience in pharmaceutical R&D, CMC, or manufacturing

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
Bazgha Qutab
Ayush Kataria
Carolina Blanco
Kumar Ritwik
Emily Reynolds
Mahmood Majeed
Mahmood Majeed
Bazgha Qutab
Mahmood Majeed

ZS Compensation & Benefits Highlights

  • Parental & Family Support ZS provides partnership with Carrot offering up to $95,000 for fertility and family planning, backup care via Bright Horizons, Milk Stork support, and 10 weeks of paid family/parental leave (with up to 16 weeks for birth mothers in some materials). This breadth stands out as a core strength across its U.S. package.
  • Healthcare Strength Health and protection offerings include full medical, dental and vision (with in-network exams 100% covered and a $300 eyewear allowance), basic life up to 3x salary, disability, long-term care at no cost, and supplemental options. These elements position core coverage as comprehensive.
  • Inclusive Benefits Coverage Public materials cite transgender-inclusive healthcare, HIV services, domestic partner eligibility, and LGBTQIA+ benefits guides alongside broad dependent coverage. This points to inclusive policies that extend meaningful access to diverse employee groups.

ZS Insights

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The Company
HQ: Evanston, IL
15,000 Employees
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm that partners with companies to improve 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. Founded in 1983, ZS has more than 15,000+ employees in over 40 offices worldwide.

Why Work With Us

ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
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HQEvanston (Global HQ)
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