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Merck

Associate Principal Scientist (Computational), Process & Product Modeling - Larg

Merck, West Point, Nebraska, United States, 68788

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Job Description

Join our Company’s Process & Product Modeling Team as an Associate Principal Scientist, where you will lead the development of advanced computational models that accelerate the development and commercialization of biologics, vaccines, sterile liquids, and other large-molecule therapies. This role offers a unique opportunity to apply your expertise to optimize complex manufacturing processes and directly impact patient health worldwide. Responsibilities

Collaborate closely with multidisciplinary scientists and engineers to create end‑to‑end predictive models that support drug substance and drug product manufacturing operations. Develop and apply mechanistic and data‑driven models especially chromatography, filtration, process flowsheets, process economics, and digital twins to solve real‑world manufacturing challenges encountered during commercialization of new biologics and vaccines. 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. Locations

West Point, PA | Rahway, NJ | Greater Dublin Area, Ireland Required Qualifications

PhD with 4+ years or MS with 8+ years of relevant experience in Chemical, Biochemical, Mechanical, Biological, Pharmaceutical Engineering, or related fields. Strong research background in computational modeling applied to large‑molecule biologics manufacturing. Expertise in one or more of the following: mechanistic chromatography modeling (preferred), end‑to‑end flowsheet/digital twin modeling, plant/process economics, bioreactor kinetics, population balance models, engineering transport models, or data‑driven modeling. Experience with relevant software tools (e.g., GoSilico, CADET, SuperPro, ASPEN Plus, gPROMS, BioSolve, Dynochem). 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. Candidate with strong modeling and computational experience in other process industries will also be considered. Preferred Qualifications

Demonstrated success in applying modeling outcomes in commercial and cGMP environments. Familiarity with regulatory filings (BLAs, NDAs) and Chemistry, Manufacturing, and Controls (CMC) processes. 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 intelligence (AI), computational fluid dynamics (CFD), etc. Required Skills

Adaptability, Biochemical Analysis, Bioprocessing, Communication, Computational Fluid Dynamics (CFD), Data Analysis, Decision Making, Detail‑Oriented, High Performance Computing (HPC), Manufacturing Processes, Manufacturing Process Validation, Manufacturing Quality Control, Manufacturing Scale‑Up, MATLAB, Mentorship, Open‑Source, Pharmaceutical Manufacturing, Process Improvements, Protein Purifications, Python. Preferred Skills

Current Employees and contingent workers are encouraged to apply. The role is open to U.S. and Puerto Rico residents who can accept hybrid on‑site preferences and travel requirements as described. EEO & Equal Opportunity

We are 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. For more information about your rights, visit the EEOC website and the applicable state and local rights statements.

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