Johnson and Johnson Innovative Medicine - Commercial Strategy and Operations is recruiting for a Manager, Machine Learning and Data Engineering for our Horsham, PA locations. Join us and help build groundbreaking solutions that deliver critical therapies to patients that need them the most!

At J&J Innovative Medicine, what matters most is helping people live full lives. This role will provide innovation leadership, technical skill and commercial business insight to our rare diseases team. We focus on treating, curing, and preventing some of the most devastating and complex diseases of our time. We pursue the most promising science, wherever it might be found.

Please visit https://www.janssen.com/johnson-johnson-innovative-medicine for more information.

The Manager, Machine Learning and Data Engineering will play a key role in our artificial intelligence transformation with a primary focus on elevating the capabilities and customer experience for our rare disease community, including physicians, institutions, care givers and patients using artificial intelligence. The candidate must have a strong business intuition, deep knowledge of healthcare industry, be a self-starter, and should be able to adjust quickly to changing needs and priorities.

Key Responsibilities:
Scale up, improve and support the Omnichannel machine learning & data engineering capability for the organization and assist senior leadership team by driving our data science & engineering strategy.

• Understand Janssen commercial business unit's Omnichannel data and functional requirements to scale up and support feature engineering for our therapeutic areas.
• Apply your skills in data science & engineering and bring innovative ideas to develop, test, and measure performance and impact of initiatives.
• Work in collaboration with business and technology teams to present the findings of the machine model runs and data insights to our key decision makers.
• Provide your expertise and point of view on the value and efficiency of new capabilities and technologies to advance adoption of data sciences and engineering capabilities across innovative medicine.
• Act as a change agent for making data innovation capabilities more pervasive across the organization by crafting proof of concepts with internal teams and external partners.