Function
Data Analytics & Computational Sciences
Sub function
Data Science Portfolio Management
Category
Senior Manager, Data Science Portfolio Management (P8)
Location
Spring House / San Diego / Cambridge / Titusville / United States of America
Date posted
May 21 2025
Requisition number
R-014238
Work pattern
Hybrid Work
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:

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.
Our Immunology team leads in the development of transformational medicines for immunological disorders and illnesses. You can influence where medicine is going by restoring health to millions of people living with immune diseases.
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 reports to the Senior Director, R&D Data Science and Digital Health Immunology. The primary and preferred location for this position is Spring House, PA. Consideration may be given for candidates who are or can be located near Titusville, NJ; Cambridge, MA; or La Jolla, CA.

Key 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 (including computer vision based endpoints and digital health solutions) to support delivery of the short and long-term Janssen 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 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 or biomedical engineering.
• 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
• Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skills, and ability to influence and engage strategic and technical partners
• Familiarity with data science, computer vision, and digital health space. Knowledge of relevant healthcare datasets, such as EHR, or insurance claims.
• Track record of strong publications and a passion for continued research. (Please include your full publication list with your resume/CV.)
• Ability to travel 10%, domestic and global

Preferred Qualifications:

• Familiarity or experience working within the Immunology therapeutic area is preferred.
• Experience delivering on data science projects using predictive technologies, data mining and/or text mining
• Knowledge and familiarity with deep learning and machine learning techniques.
• 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 diagnostic medical imaging and digital health sensing data

The primary and preferred location for this position is Spring House, PA. Consideration may be given for candidates who are or can be located near Titusville, NJ; Cambridge, MA; or La Jolla, CA. This role currently follows a hybrid schedule of three days in the office and two days remotely per week (no fully remote option).
Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits:
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
https://www.careers.jnj.com/employee-benefits
The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

LI-SL

JNJDataScience

• 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 (including computer vision based endpoints and digital health solutions) to support delivery of the short and long-term Janssen 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 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 require