Sr. Specialist – Business Insights & Analytics, Advanced Analytics - Us Vaccines & Id

Drugdiscovery

Base: $129,000.00 - $203,100.00; bonus/equity: ann...
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Advanced statistical methods
Machine learning/artificial intelligence
Natural language processing (nlp)
** The Sr. Specialist – Business Insights & Analytics position at Drugdiscovery focuses on utilizing advanced analytics and data science to provide actionable insights for marketing strategies in the US Vaccines & ID domain. The role requires collaboration with diverse teams, employing technologies like Machine Learning and Generative AI to enhance data-driven decision-making. **

Job Summary

  • This role will collaborate with the Digital Human Health (DHH) area to utilize data for generating actionable insights and act as a strategic thought partner for marketing stakeholders.
  • The Sr. Specialist will partner with cross-functional teams to design and deliver scalable analytical solutions, including the application of Machine Learning, Natural Language Processing, Generative AI, and emerging Agentic AI frameworks.
  • The salary range for this role is $129,000.00 - $203,100.00, and the successful candidate will be eligible for annual bonus and long-term incentive, if applicable, along with a comprehensive benefits package.

Matching Summary

Match Score: 75

** The Sr. Specialist – Business Insights & Analytics position at Drugdiscovery focuses on utilizing advanced analytics and data science to provide actionable insights for marketing strategies in the US Vaccines & ID domain. The role requires collaboration with diverse teams, employing technologies like Machine Learning and Generative AI to enhance data-driven decision-making. **

Salary

Base: $129,000.00 - $203,100.00; Bonus/Equity: Annual bonus and long-term incentive, if applicable; Benefits: Medical, dental, vision healthcare and other insurance benefits, retirement benefits, 401(k), paid holidays, vacation, and compassionate and sick days.

Skills & Requirements

Must-have

  • Advanced statistical methods
  • Machine Learning/Artificial Intelligence
  • Natural Language Processing (NLP)
  • Generative AI (GenAI) concepts
  • LLM-based retrieval-augmented generation (RAG)
  • Python, SAS, SQL proficiency

Nice-to-have

  • Strategic thought partner
  • Cross-functional collaboration
  • Continuous learning and innovation
  • Effective communication to senior leadership

Key Requirements

  • Bachelor's degree in a quantitative field
  • 3 years of relevant experience
  • Pharmaceutical/biotech/healthcare industry experience
  • Proficiency in Python, SAS, SQL
  • Experience with Generative AI concepts
  • Exposure to Agentic AI frameworks

Work Rights

Not specified

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