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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.

LinkedIn
Vakances uzņēmumā

Associate Director, Portfolio AI Activation

Lead the use of AI, machine learning, and commercial analytics to inform pharmaceutical brand and launch decisions at MSD. Guide insight development, targeting, and adoption with marketing and field teams.

USAmerikas Savienotās ValstisNJŅūdžersijaPAPensilvānija
156 900 $ – 247 000 $ / gads
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākslīgais intelekts
PythonSQL

Apraksts

  • Lead analytics and data science projects to answer priority brand and marketing questions, including HCP targeting, segmentation, tiering, and promotional response.
  • Prepare new products and indications for launch through market and patient opportunity sizing, HCP universe definition and targeting, and early performance tracking.
  • Build and apply predictive, propensity, clustering, response, forecasting, and causal inference models using pharmaceutical commercial data.
  • Turn analytical results into practical recommendations for brand leaders, marketing teams, and field teams.
  • Work with brand, marketing, ME, and sales planning teams to shape business questions, set success measures, and assess commercial initiatives.
  • Advise on pharmaceutical commercial data sources and appropriate use.
  • Identify business-led AI opportunities and support focused pilot projects.
  • Bring business and data expertise to DHH-wide AI initiatives, connecting brand and technical teams.
  • Ensure analytics and AI work follows data privacy, compliance, and governance standards.
  • Strengthen data and AI understanding across commercial teams.
  • Lead cross-functional teams, global collaborators, and external partners.
  • Manage project scope while balancing strategic direction with delivery.

Prasības

  • Bring at least five years of experience in pharmaceutical or healthcare commercial analytics, marketing analytics, or data science.
  • Have a proven record of supporting brand and marketing teams.
  • Demonstrate strong machine learning and statistical expertise applied to commercial needs such as HCP targeting, segmentation, predictive modeling, and promotional impact measurement.
  • Know pharmaceutical commercial data well, including claims, prescription and sales, CRM, and HCP- and patient-level data.
  • Understand the pharmaceutical commercial model, including brands, launches, market access, and field forces.
  • Be proficient in Python, SQL, and/or R.
  • Be proficient with analytics and data platforms such as Databricks or Dataiku.
  • Have hands-on experience applying AI, including generative AI or LLM-based tools, in analytics workflows.
  • Explain complex analyses as clear, decision-ready recommendations that can influence senior leaders.
  • Align brand, ME, and cross-functional stakeholders, drive adoption, and manage scope.
  • Bring people or matrix leadership experience, including leading cross-functional teams, global collaborators, and external partners.
  • Have strong project management skills, resilience, and adaptability.
  • Hold a required master's degree or PhD in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Engineering, Public Health, or a related quantitative field.
  • Know Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software Development, Stakeholder Relationship Management, and the Waterfall Model.
  • Applicants must reside in the United States or Puerto Rico.

Priekšrocības

  • Annual bonus and long-term incentive, when applicable.
  • Medical, dental, vision, and other insurance coverage for employees and their families.
  • Retirement benefits, including a 401(k).
  • Paid holidays.
  • Vacation time.
  • Compassionate and sick leave.
  • Hybrid work arrangement.

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H1B vīzas sponsorsFarmaceitiskie produktiVeselības apdrošināšanaVeselības aprūpe
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