{"id":3334208,"url":"https://alion.io/job/johnson-johnson-msat-psmd-postdoc","title":"MSAT PSMD Postdoc","company":{"id":14152,"name":"Johnson & Johnson","domain":"jnj.com","url":"https://alion.io/company/jnj","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":231,"ghost_share":0,"stale_share":0.623,"repost_share":0.004,"time_to_fill_p50_days":11,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Schaffhausen, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":198000,"period":"year","method":"role_country_seniority_unknown","sample_n":15},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Digital Twin","optional":false},{"name":"Julia","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-07T08:42:47Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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.\nAs 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.\nJob Function:\nCareer ProgramsJob Sub Function:\nPost Doc - R&D Product DevelopmentJob Category:\nCareer ProgramAll Job Posting Locations:\nSchaffhausen, SwitzerlandJob Description:\nRecommended Title\nPostdoctoral Researcher - Process Modeling and Optimization for Pharmaceutical Manufacturing\nLocation: Schaffhausen, Switzerland\nPosition Summary\nWe are seeking a highly motivated Postdoctoral Fellow to advance modeling, simulation, and optimization capabilities for pharmaceutical manufacturing processes.\nBased 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.\nThe 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.\nKey Responsibilities\nDevelop mechanistic, hybrid, and data-informed models for pharmaceutical manufacturing processes.\nDesign and implement dynamic simulations and digital twins to support process understanding and decision-making.\nApply Process Systems Engineering methodologies including: Dynamic modeling Parameter estimation Process optimization Sensitivity analysis Uncertainty quantification\nDevelop predictive models using experimental and manufacturing data.\nSupport process monitoring, process analytics, and operational decision-support capabilities.\nCollaborate with scientists, engineers, and manufacturing teams to translate process knowledge into deployable solutions.\nContribute to scientific publications, patents, and technology development activities.\nSupport identification and evaluation of innovative technologies that enhance manufacturing performance and process robustness.\nRequired Qualifications\nEducation\nPhD in:\nChemical Engineering\nProcess Systems Engineering\nPharmaceutical Engineering\nBiochemical Engineering\nRelated Engineering Discipline\nTechnical Experience\nDemonstrated expertise in several of the following:\nDynamic process modeling\nFirst-principles or mechanistic modeling\nProcess simulation\nMathematical optimization\nParameter estimation\nData analytics and statistical modeling\nScientific programming using Python, MATLAB, Julia, or similar platforms\nPreferred Experience\nExperience in one or more of:\nPharmaceutical manufacturing\nContinuous manufacturing\nProcess development\nManufacturing sciences\nProcess control\nProcess monitoring\nDigital twins\nAdvanced process analytics\nIdeal Candidate\nThe ideal candidate combines strong engineering fundamentals with practical experience modeling physical process systems.\nCandidates 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.\nRequired Skills:\nPreferred Skills:","description_format":"text","description_chars":3949,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Switzerland","iso":"CH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Surgical Instruments & Devices","Orthopedic & Spine 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