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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

Senior Specialist, Data Engineering and Analytics

Improve manufacturing data, pipelines, and reporting for MSD’s biopharmaceutical operations. Support compliant digital solutions across global technical and manufacturing teams.

USAmerikas Savienotās ValstisNJŅūdžersijaNCZiemeļkarolīnaPAPensilvānija
117 000 $ – 184 200 $ / gads
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris

Apraksts

  • Deliver data engineering and analytics work aligned with SM S&T priorities and business needs
  • Build and improve data pipelines, transformations, curated datasets, and analytical outputs
  • Support dashboards, reports, and analytical tools for monitoring, visibility, and decision support
  • Investigate data issues and strengthen data quality, completeness, and usability
  • Work with scientists, engineers, manufacturing users, and digital teams to define requirements and deliver solutions
  • Turn business questions into data requirements, logic, and appropriate outputs
  • Help test, implement, and refine analytics and data solutions
  • Make manufacturing and process data easier to access and use
  • Document data structures, business logic, and technical methods
  • Support the rollout and adoption of analytics tools, data assets, and reporting capabilities
  • Provide technical assistance, user guidance, and knowledge sharing
  • Identify ways to standardize analytical methods, data structures, and work practices
  • Help improve efficiency, scalability, and user experience
  • Manage deliverables, schedules, dependencies, and quality expectations
  • Raise risks, issues, and blockers, and help plan their resolution
  • Meet quality, documentation, and regulated-environment requirements

Prasības

  • Bachelor’s, master’s, or higher degree in engineering, pharmaceutical sciences, data science, information technology, computer science, or a related technical field
  • Five years of experience required, or three years with a master’s degree
  • Relevant experience in data engineering, analytics, manufacturing systems, technical operations, or a related technical role
  • Working knowledge of manufacturing, process, or operational data in pharmaceutical, biotech, or similarly regulated settings
  • Experience preparing and transforming data, developing pipelines, or working with analytics tools, dashboards, or reporting solutions
  • Strong analytical, problem-solving, and collaboration abilities
  • Ability to work effectively across business and technical teams in a matrixed environment
  • Ability to manage multiple assignments and deliver high-quality work with appropriate guidance
  • Experience with DataLynx, SEEQ, MPI, MES, historians, or similar platforms is preferred
  • Travel to manufacturing sites may be required, estimated at under 10% of work time
  • Visa sponsorship is not available
  • A valid driver’s license is not required

Priekšrocības

  • Annual bonus
  • Long-term incentive, where applicable
  • Medical, dental, and vision coverage
  • Other insurance benefits for employees and their families
  • Retirement benefits, including a 401(k) plan
  • Paid holidays
  • Vacation
  • Compassionate leave
  • Sick leave
  • Hybrid work arrangement
  • Relocation is not required

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