pAt Johnson Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com . /p pAs guided by Our Credo, Johnson Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson Johnson, we respect the diversity and dignity of our employees and recognize their merit. /p h3Job Function /h3 pCareer Programs /p h3Job Sub Function /h3 pPost Doc – RD Product Development /p h3Job Category /h3 pCareer Program /p h3All Job Posting Locations /h3 pSchaffhausen, Switzerland /p h3Job Description /h3 pRecommended Title /p h3Postdoctoral Researcher - Process Modeling and Optimization for Pharmaceutical Manufacturing /h3 pLocation: Schaffhausen, Switzerland /p h3Position Summary /h3 pWe are seeking a highly motivated Postdoctoral Fellow to advance modeling, simulation, and optimization capabilities for pharmaceutical manufacturing processes. /p pBased in Schaffhausen, Switzerland, the successful candidate will work at the intersection of process science, engineering, manufacturing, and data analytics to develop innovative solutions that improve process understanding, operational performance, and technology deployment across pharmaceutical manufacturing operations. /p pThe role offers the opportunity to apply advanced Process Systems Engineering methodologies to real-world manufacturing challenges while collaborating with multidisciplinary teams across process development, manufacturing, automation, and digital technology. /p h3Key Responsibilities /h3 ul liDevelop mechanistic, hybrid, and data-informed models for pharmaceutical manufacturing processes. /li liDesign and implement dynamic simulations and digital twins to support process understanding and decision-making. /li liApply Process Systems Engineering methodologies including: Dynamic modeling Parameter estimation Process optimization Sensitivity analysis Uncertainty quantification /li liDevelop predictive models using experimental and manufacturing data. /li liSupport process monitoring, process analytics, and operational decision-support capabilities. /li liCollaborate with scientists, engineers, and manufacturing teams to translate process knowledge into deployable solutions. /li liContribute to scientific publications, patents, and technology development activities. /li liSupport identification and evaluation of innovative technologies that enhance manufacturing performance and process robustness. /li /ul h3Required Qualifications /h3 h3Education /h3 ul liPhD in: /li liChemical Engineering /li liProcess Systems Engineering /li liPharmaceutical Engineering /li liBiochemical Engineering /li liRelated Engineering Discipline /li /ul h3Technical Experience /h3 ul liDemonstrated expertise in several of the following: /li liDynamic process modeling /li liFirst-principles or mechanistic modeling /li liProcess simulation /li liMathematical optimization /li liParameter estimation /li liData analytics and statistical modeling /li liScientific programming using Python, MATLAB, Julia, or similar platforms /li /ul h3Preferred Experience /h3 ul liExperience in one or more of: /li liPharmaceutical manufacturing /li liContinuous manufacturing /li liProcess development /li liManufacturing sciences /li liProcess control /li liProcess monitoring /li liDigital twins /li liAdvanced process analytics /li /ul h3Ideal Candidate /h3 pThe ideal candidate combines strong engineering fundamentals with practical experience modeling physical process systems. /p pCandidates should demonstrate experience developing mathematical models that improve understanding, prediction, optimization, or control of manufacturing processes and be capable of translating scientific concepts into practical industrial applications. /p #J-18808-Ljbffr
MSAT PSMD Postdoc Arbeitgeber: Biopharma Careers
Novartis ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, aktiv an der Qualität innovativer pharmazeutischer Produkte mitzuwirken. Mit einem starken Fokus auf persönliche und berufliche Entwicklung, flexiblen Arbeitsmodellen und einem integrativen Arbeitsumfeld fördert Novartis nicht nur Ihre Karriere, sondern auch Ihr Wohlbefinden. In Kundl, Österreich, profitieren Sie von einem dynamischen Team und einer Unternehmenskultur, die Vielfalt und Inklusion schätzt.
