Function
Data Analytics & Computational Sciences
Sub function
Data Science
Category
Principal Scientist, Data Science (ST7)
Location
Horsham / United States of America
Date posted
May 27 2025
Requisition number
2406192100W
Work pattern
Hybrid Work
This job posting is anticipated to close on Jun 20 2025. We may however extend this time period, in which case the posting will remain available on www.careers.jnj.com to accept additional applications.
Description
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

JOB DESCRIPTION:

We are searching for the best talent for Advanced Analytics - Engagement Manager, Oncology (Solid Tumor) to be in Horsham, PA.
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
Purpose: 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.

QUALIFICATIONS / REQUIREMENTS:

• 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 nontechnical 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.

• Driving 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