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Data Analytics & Computational Sciences

Advanced Analytics, Engagement Manager - Oncology (Hematology)

  • タイトル Advanced Analytics, Engagement Manager - Oncology (Hematology)
  • 関数 Data Analytics & Computational Sciences
  • サブ機能 Data Science
  • カテゴリ Principal Scientist, Data Science (ST7)
  • ロケーション Horsham, Pennsylvania, United States
  • 投稿日
  • リクエストID 2406193451W
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形容

Johnson & Johnson Innovative Medicine is seeking a talented and motivated individual for the role of Advanced Analytics - Engagement Manager to support the Oncology (Hematology) commercial organization in Horsham, PA .  

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/. 

As an Engagement Manager within the Customer AI Products and Strategy (CAPS ) team, you will play a crucial role in driving the evolution of our business to meet the ever-evolving needs of our customers and enhance their experience. You will collaborate closely with other commercial teams to translate business needs into innovative advanced analytics solutions. This role will have a significant impact on decision-making at senior levels, identifying opportunities to drive revenue growth, share growth, and improve our commercial model. 

 

Key Responsibilities:  

  • Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
  • Lead collaboration with partners across Marketing, Sales,  StAT and Data Science teams to incorporate market research, strategic imperatives, competitive intelligence into AI products to influence key decisions and brand strategy.
  • Collaborate with business partners to craft and influence investment strategy across promotional channels based on output from predictive models, providing recommendations to leadership and brand teams.
  • Oversee the critical processes and resources that drive AI/ML products in Oncology. This includes leading contracted resources, prioritizing product enhancements, continuous process improvement/automation, and conducting quality checks on outputs.
  • Proactively leverage AI/ML knowledge and business strategy to evolve the commercial model using common and novel sources of data (e.g., commercial pharma, consumer, and census data).
  • Emulate and cultivate a credo-based culture across a diverse range of business partners and teams 

 

資格

Qualifications:  

  • A minimum of 5 years of relevant business experience in predictive modeling, analytics, management consulting or related field is required.
  • A minimum of a Bachelor Degree is required, Master degree preferred.
  • Intellectual curiosity and passion to learn new things!
  • Experience in practical application of predictive modeling and demonstrated ability to translate technical findings for non-technical audiences required.
  • Excellent communication, project management, and executive presence required.
  • Skilled in data extraction and summarization from large datasets using SQL and basic statistical analysis using preferred languages (i.e., Python, SQL, R) is required. Experience working with large pharmaceutical data sets (e.g., IQVIA, SHS, MMIT…etc.) is preferred.
  • Demonstrated understanding of omnichannel marketing, especially within the pharmaceutical industry highly preferred.
  • Experience leading or advising in marketing mix/optimization or other promotional measurement solutions is preferred. 

 

Other:  

  • This position will require up to 10% domestic travel.

 

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 

 

 

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