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MSD
MSD
H1B vīzas sponsorsBiotehnoloģijaLoģistikaVeselības aprūpe

MSD ir globāls biofarmācijas uzņēmums, kas izstrādā zāles un vakcīnas nozīmīgu veselības problēmu risināšanai, tostarp vēža, infekcijas slimību, sirds un asinsvadu slimību un vielmaiņas traucējumu ārstēšanai, kā arī pievēršas profilaktiskajai aprūpei. Amerikas Savienotajās Valstīs, Kanādā un Puertoriko MSD ir pazīstams kā Merck & Co., Inc. MSD apvieno zinātnisko pētniecību ar izstrādes un komerciālo kompetenci, lai veselības aprūpes risinājumi būtu pieejami cilvēkiem un dzīvniekiem.

Uzņēmuma darbība aptver cilvēku veselību, dzīvnieku veselību, kā arī pētniecību un izstrādi, radot iespējas profesionāļiem zinātnes, klīniskajā, komerciālajā, operacionālajā un uzņēmuma funkciju jomā. MSD darbojas dažādos pasaules reģionos, un tās karjeras iespējas atspoguļo koncentrēšanos uz pētniecību, sadarbību, iekļaušanu un atbildīgu globālās veselības attīstību.

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Vakances uzņēmumā

MSD Associate Director of Data Engineering and Analytics

Lead scalable data engineering and analytics for biopharmaceutical manufacturing operations, improving data access and analytics adoption. Support better decisions across regulated science and production teams.

USAmerikas Savienotās ValstisNJŅūdžersijaNCZiemeļkarolīnaPAPensilvānija
142 400 $ – 224 100 $ / gads
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris

Apraksts

  • Lead complex data engineering and analytics initiatives supporting SM S&T priorities
  • Turn business needs into delivery plans, technical requirements, and measurable outcomes
  • Manage high-impact workstreams independently, coordinating milestones, dependencies, risks, and stakeholders
  • Partner technically with business, manufacturing, scientific, and digital teams
  • Develop scalable data engineering and analytics solutions for complex processes and operational needs
  • Connect technical and non-technical stakeholders and influence cross-functional teams
  • Build and improve data pipelines, data flows, and curated datasets
  • Improve the quality, context, and accessibility of manufacturing and process data
  • Help integrate source-system data into analytical environments
  • Enable scientists and engineers to use data for process monitoring, investigations, and lifecycle management
  • Expand analytics deployment and adoption across Drug Substance, Drug Product, Packaging, and Analytical Sciences
  • Apply knowledge of manufacturing processes and unit operations to shape practical solutions
  • Promote repeatable methods, user support, and working practices that encourage adoption
  • Present technical considerations, dependencies, and value drivers in prioritization and governance discussions
  • Work with business and digital stakeholders to define valuable use cases and delivery order
  • Monitor delivery progress, adoption, and realized value
  • Identify and escalate delivery risks, trade-offs, and resource constraints

Prasības

  • Bachelor’s degree in Engineering, Pharmaceutical Sciences, Data Science, Information Technology, Computer Science, or a related technical field and eight years of relevant experience, or a master’s degree and six years
  • Substantial experience in pharmaceutical manufacturing, technical operations, data engineering, analytics, or a related digital role in a regulated setting
  • Ability to lead complex technical workstreams independently and deliver across matrixed organizations
  • Strong knowledge of manufacturing processes and unit operations in Drug Substance, Drug Product, Packaging, and/or Analytical Sciences
  • Experience designing or supporting data pipelines, analytical data products, dashboards, or scalable analytics solutions
  • Ability to translate between business and technical stakeholders and influence without direct authority
  • Ability to work across functions, balance competing priorities, and navigate ambiguity
  • Travel to manufacturing sites may be required, estimated at less than 10%
  • Experience with manufacturing data and analytics platforms such as DataLynx, SEEQ, MPI, MES, historians, or comparable tools is preferred
  • Visa sponsorship is not available
  • Relocation assistance is not available
  • A valid driver’s license is not required

Priekšrocības

  • Annual bonus and long-term incentive, where applicable
  • Medical, dental, vision, and other insurance coverage for employees and families
  • Retirement benefits, including a 401(k)
  • Paid holidays
  • Vacation leave
  • Compassionate and sick leave
  • Flexible hybrid work arrangements

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