Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence

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 jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, 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 & Johnson Innovative Medicine is recruiting for a Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence. This position will be located in either Raritan, NJ; Spring House, PA; Titusville, NJ; or Cambridge, MA, and may require up to approximately 10% travel.  (Remote work arrangements in the US may be considered on a case by case basis and if approved by the company.)

The Senior Manager, Data, Data Science & Artificial Intelligence (DDSAI), Immunology Real‑World Evidence (RWE), is an individual contributor responsible for delivering complex data science and real‑world evidence strategies in support of Immunology research and development programs. The role applies advanced real-world methodologies to generate insights that inform clinical development, and scientific decision‑making both internal and regulatory.

Operating with a high degree of autonomy within a defined scope, the Associate Director partners closely with cross‑functional teams to translate disease and therapeutic area priorities into actionable research questions while aligning with established functional strategies and governance frameworks.

Key Responsibilities

• Contribute to the execution of real‑world and DDSAI evidence plans aligned with Immunology disease and therapeutic area objectives.
• Lead defined evidence generation workstreams supporting clinical development programs, including identifying evidence gaps, patient characterization and subgroup identification, novel endpoint exploration and validation, asset differentiation, and comparative efficacy and effectiveness studies.
• Apply data science and statistical methodologies to real-world data sources to address prioritized scientific and development questions.
• Collaborate with Disease Area Strongholds, Compound Development Teams, and cross‑functional partners to ensure deliverables meet program evidence needs and timelines.
• Execute end‑to‑end project activities, including data fit-for-purpose assessment and validation, protocol development, ,results documentation and interpretation, and stakeholder management throughout the project life-cycle..
• Serve as a technical subject‑matter expert within cross‑functional teams, providing sound methodological recommendations to support program decision‑making.
• Prepare and deliver analytical summaries, presentations, and written materials for internal stakeholders and governance forums.
• Contribute to scientific manuscripts, abstracts, and internal knowledge‑sharing activities based on clinical trial and real‑world analyses.
• Support external scientific collaborations by providing real-world evidence expertise and contributing to joint project deliverables.
• Participate in cross‑functional initiatives that enhance data science, digital health, and real‑world evidence capabilities across the organization.

This description reflects the primary responsibilities of the role; additional duties may be assigned as business needs evolve.

Scope and Decision‑Making Authority

• Operates independently on complex initiatives within a defined program or portfolio scope.
• Makes technical and methodological recommendations based on expertise and guidelines.
• Strategic, portfolio, and final program decisions remain the responsibility of functional or therapeutic area leadership.
• Influences decision outcomes through scientific credibility, evidence‑driven insights, and cross‑functional collaboration rather than formal authority.

 

Required Qualifications

• PhD, PharmD, MD, or equivalent advanced degree in statistics, bioinformatics, epidemiology, computational biology, data science, or related quantitative discipline.
  (Candidates with a Master’s degree and substantial relevant experience may be considered.)
• Demonstrated experience applying data science, or real‑world evidence methods within pharmaceutical R&D, healthcare analytics, consulting, or a related professional field.
• Proven ability to work effectively within matrixed, cross‑functional teams.
• Experience working with real-world data sources such as electronic health records, administrative claims, registries, or secondary data.
• Strong stakeholder management, analytical, problem‑solving, and communication skills.

 

Preferred Qualifications

• Experience supporting Immunology or related therapeutic area programs.
• Hands‑on delivery of research projects using advanced statistical methods, predictive modeling, or machine learning.
• Experience contributing to scientific publications, abstracts, or regulatory‑supporting analyses.

 

This position will be located in either Raritan, NJ; Spring House, PA; Titusville, NJ; or Cambridge, MA, and may require up to approximately 10% travel.  (Remote work arrangements in the US may be considered on a case-by-case basis and if approved by the company.)

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.

If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.

Johnson & 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, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees 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
Additional information can be found through the link below. 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.

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Required Skills:

 

 

Preferred Skills: