Merck & Co. is looking to solve the problem of accelerating the development and commercialization of biologics, vaccines, sterile liquids, and other large-molecule therapies by developing advanced computational models that optimize complex manufacturing processes.
Requirements
- 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.
- Industrial or relevant research experience with biologics, vaccines, or sterile liquid manufacturing processes.
- Demonstrated success in applying modeling outcomes in commercial and cGMP environments.
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, and including 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.
- 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.
Other
- Excellent organizational, interpersonal, and communication skills.
- Proven ability to work effectively in cross-functional teams.
- Travel Requirements: 10%
- Flexible Work Arrangements: Hybrid
- VISA Sponsorship: Yes
