MSD
MSD

MSD एक वैश्विक बायोफार्मास्युटिकल कंपनी है, जो कैंसर, संक्रामक रोगों, हृदय एवं चयापचय संबंधी स्थितियों और रोकथाम-केंद्रित देखभाल जैसी प्रमुख स्वास्थ्य चुनौतियों के लिए दवाइयों और टीकों को आगे बढ़ा रही है। संयुक्त राज्य अमेरिका, कनाडा और प्यूर्टो रिको में Merck & Co., Inc. के नाम से जानी जाने वाली MSD वैज्ञानिक अनुसंधान को विकास और वाणिज्यिक विशेषज्ञता के साथ जोड़कर लोगों और पशुओं तक स्वास्थ्य सेवाओं से जुड़े समाधान पहुँचाती है।

इसका कार्य मानव स्वास्थ्य, पशु स्वास्थ्य तथा अनुसंधान एवं विकास के क्षेत्रों में फैला हुआ है, जिससे वैज्ञानिक, क्लिनिकल, वाणिज्यिक, परिचालन और कॉर्पोरेट टीमों में पेशेवरों के लिए अवसर बनते हैं। दुनिया भर के विभिन्न क्षेत्रों में अपनी गतिविधियों के साथ, MSD का करियर-केंद्रित कार्य अनुसंधान, सहयोग, समावेशन और वैश्विक स्वास्थ्य में जिम्मेदार प्रगति पर इसके ध्यान को दर्शाता है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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