Associate Director, R&D Data Science and Digital Health - Immunology

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 Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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

Johnson and Johnson Innovative Medicine Research & Development LLC, a Johnson & Johnson company, is recruiting for an Associate Director, R&D Data Science and Digital Health (DSDH) Immunology. This position can be located in one of our office locations in either San Diego, CA (preferred), Spring House, PA, Titusville, NJ, or Cambridge, MA.  May require approximately 25% domestic and international travel.

Responsibilities

• Work closely with the broader Data Science and Digital Health (DSDH) team and Immunology Therapeutic Area (TA) / Function Data Science teams to execute on critical data science initiatives (focused on computer vision-based endpoints and digital health solutions) to support delivery of the short and long-term J&J Innovative Medicine R&D Data Science and Digital Health strategy
• Collaborate with Immunology TA and functions in J&J Innovative Medicine R&D, the DSDH Insights & Analytics team, and DSDH Data Platform teams to conceive, develop, and execute on data science use-cases, build a roadmap to deliver the use-cases, from test and learn to scale up deployment
• Develop a deep understanding of the imaging and digital health data, technical solutions and partner ecosystem, align R&D data science use cases with the key data sets and partners (internal and external)
• Champion, build and drive large strategic and sophisticated DSDH projects to achieve the intended impact in a timely manner
• Perform detailed analyses, develop high quality materials, and communicate in critical executive forums to facilitate leadership decision making
• Other ad hoc responsibilities in support of the DSDH team’s objectives and overall R&D objectives, as required

Required Qualifications:

• PhD in data science, computer science, bioinformatics, biomedical engineering or applied mathematics is required.
• MD with  experience in in data science, bioinformatics, computer science is strongly preferred.
• 4+ years of progressive business experience in the pharmaceutical R&D, data science, computer vision, digital health, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the data science ecosystem is required.
• Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners is required
• Familiarity with data science, computer vision, digital health space. Knowledge of Immunology.  Knowledge of relevant healthcare datasets, such as EHR, or insurance claims is required.
   

Preferred

• Experience delivering data science projects using predictive technologies, data mining and/or text mining
• Experience analyzing or handling healthcare data sets, including EHR, claims, registry data, and images
• Experience with data science tools and statistical programming languages, including SQL, Python, R, and others
• Experience with defining use cases for deep learning, foundational models, machine learning and artificial intelligence in d