Demo

Sr. Scientist (Modeling), Engineering

TalentAlly
Rahway, NJ Full Time
POSTED ON 12/25/2025
AVAILABLE BEFORE 1/24/2026
Job Description

The Process Excellence Team is seeking a Senior Scientist who will lead Process and Product Modeling efforts across the Global Animal Health Manufacturing (GAHM) organization. The Senior Scientist will develop and utilize advanced computational models to accelerate and optimize the development, launch, technical transfer, and routine production of our Global Animal Health portfolio.

The Process Excellence team is a part of the Global Animal Health Manufacturing (GAHM) Science and Technology (S&T) organization and supports both large and small molecule lines of business.

As a potential candidate, you have advanced graduate degree(s) in an engineering or scientific discipline relevant to pharmaceutical process and product modeling, for small molecules and/or large molecules. Your graduate research or work experience must have a specialization in process modeling and computational sciences. In this role, using a variety of process-modeling tools, you will build and apply predictive tools for small and large-molecule drug substance (upstream and downstream) and drug product manufacturing unit operations. Your expertise in computational fluid dynamics (CFD) and associated engineering models (mass, momentum, energy transport, chemical/biochemical reaction kinetics, etc.) would be a strong asset to this role. Candidates who have expertise in other modeling techniques should also apply, such as, flowsheet models, population balance modeling, data driven models, and other modeling methods.

Responsibilities

  • Collaborate closely with multidisciplinary scientists and engineers to create end-to-end predictive models that support drug substance and drug product manufacturing operations. Examples of problems on which you will work: scale-up or scale-down, tech-transfer, fluid-flow and multiphase-flow modeling occurring in drug-substance unit operations (bioreactors, mixing vessels, dissolution, chromatography, filtration) and drug-product unit operations (freezing, thawing, mixing, filling).
  • Develop and apply mechanistic and data-driven models including filtration, process flowsheets, process economics, and "digital twins" to solve real-world manufacturing challenges encountered during commercialization of new products
  • Drive innovation by championing computational tools that reduce costs, minimize experimental batches, shorten timelines, and improve product quality and process robustness. Communicate complex modeling insights clearly to project teams and leadership, translating results into actionable experimental and manufacturing strategies.
  • Lead the deployment of computational solutions using commercial software, open-source tools, and proprietary models you help develop.
  • Work independently with minimal supervision, managing multiple projects and timelines effectively.
  • Present your work at internal meetings, scientific conferences, and contribute to publications.
  • Lead collaborations with external partners such as universities, research organizations, and contract manufacturing organizations (CMOs/CDMOs) to advance modeling capabilities.

Required Qualifications

  • Must have Doctoral degree (PhD) with 0-3 years of relevant experience, OR
  • Master's degree (MS) with 4-7 years of relevant experience. Degree may be in Chemical Engineering, Biochemical Engineering, Biological Engineering, Mechanical Engineering, Chemistry, Pharmaceutical Engineering, or any other relevant discipline.
  • Strong research background in computational modeling applied/relevant to pharmaceutical manufacturing
  • Must have expertise with one or more computational techniques relevant to pharmaceutical modeling. Relevant techniques include (but not limited to): computational fluid dynamics (CFD), first-principle engineering models (mass, momentum, energy transport, chemical/biochemical reaction kinetics, etc.), numerical methods (must be able to setup and solve linear/non-linear equations, ODEs, PDEs, etc.), flowsheet models, population balance modeling (PBM), statistical methods, data driven models, and other modeling methods.
  • Experience with relevant software tools (e.g., M-Star, ANSYS Fluent, or other CFD software; SuperPro, ASPEN Plus, gPROMS, BioSolve, Dynochem, GoSilico, CADET, etc.).
  • Proficiency in programming languages such as Python (preferred), Matlab, C/C , or R.
  • Excellent organizational, interpersonal, and communication skills.
  • Proven ability to work effectively in cross-functional teams.
  • Industrial or relevant research experience with biologics, vaccines, or sterile liquid manufacturing processes. Candidates with strong modeling and computational experience in other process industries will also be considered.

Preferred Qualifications

  • Demonstrated success in applying modeling outcomes in highly regulated manufacturing environments. Knowledge of cGMP concepts.
  • Experience with high-performance computing.
  • Strong publication, presentation, or patent record.
  • Knowledge of statistical software (Minitab, JMP) and other related modeling techniques such as machine learning (ML) or artificial methods (AI), computational fluid dynamics (CFD), etc.

Required Skills

Collaboration, Computational Fluid Dynamics (CFD) Simulation, Computational Models, Drug Product Development, Drug Product Manufacturing, Predictive Modeling, Product Modeling, Python (Programming Language), Small Molecules

Preferred Skills

Current Employees apply HERE

Current Contingent Workers apply HERE

US And Puerto Rico Residents Only

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

Requirements

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote".

The salary range for this role is

$114,700.00 - $180,500.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only:We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status

Regular

Relocation:

No relocation

VISA Sponsorship

No

Travel Requirements

25%

Flexible Work Arrangements

Hybrid

Shift

1st - Day

Valid Driving License

Yes

Hazardous Material(s)

N/A

Job Posting End Date

11/13/2025

  • A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R371221

PDN-a03bf32d-3de9-4de3-a961-1e0d163df770

Salary : $114,700 - $180,500

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