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MSD
MSD
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MSD is a global biopharmaceutical company advancing medicines and vaccines for major health challenges, including cancer, infectious diseases, cardiovascular and metabolic conditions, and prevention-focused care. Known as Merck & Co., Inc. in the United States, Canada, and Puerto Rico, MSD combines scientific research with development and commercial expertise to bring healthcare solutions to people and animals.

Its work spans Human Health, Animal Health, and Research & Development, creating opportunities for professionals across scientific, clinical, commercial, operational, and corporate teams. With activities in regions around the world, MSD’s careers reflect its focus on research, collaboration, inclusion, and responsible progress in global health.

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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.

USUnited StatesNJNew JerseyNCNorth CarolinaPAPennsylvania
$117,000 – $184,200 / year
HybridFull-timeSeniorEnglish RequiredData Engineer

Description

  • 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

Requirements

  • 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

Benefits

  • 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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