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.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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

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