MSD
MSD

MSD saraton, yuqumli kasalliklar, yurak-qon tomir va metabolik holatlar, shuningdek, profilaktik tibbiy yordam kabi muhim sog‘liq muammolariga qarshi dori vositalari va vaksinalarni ishlab chiqadigan global biofarmatsevtika kompaniyasidir. Amerika Qo‘shma Shtatlari, Kanada va Puerto-Rikoda Merck & Co., Inc. nomi bilan tanilgan MSD ilmiy tadqiqotlarni ishlab chiqish va tijoriy tajriba bilan birlashtirib, odamlar va hayvonlar uchun tibbiy yechimlarni taqdim etadi.

Kompaniya faoliyati Inson salomatligi, Hayvonlar salomatligi hamda Tadqiqot va ishlanmalar yo‘nalishlarini qamrab oladi. Bu ilmiy, klinik, tijoriy, operatsion va korporativ jamoalarda faoliyat yurituvchi mutaxassislar uchun imkoniyatlar yaratadi. Dunyoning turli hududlarida faoliyat olib boradigan MSDdagi martaba imkoniyatlari tadqiqot, hamkorlik, inklyuzivlik va global salomatlik sohasidagi mas’uliyatli taraqqiyotga e’tiborni aks ettiradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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

O‘xshash ish o‘rinlari

The Hartford

Google Cloud Data Engineer — The Hartford, Hybrid

The Hartford

Build Google Cloud data pipelines and metadata governance automation at The Hartford. Develop secure, AI-enabled enterprise data solutions across four U.S. offices.

Ochish
State Street

Senior Databricks Data Engineer

State Street

Build Azure and Databricks data pipelines for State Street’s financial services platform. Develop ETL processes, data lakes, and scalable frameworks as part of an agile team.

Ochish