Remote Behavioral Science Research Jobs in Riverside, NJ

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is currently seeking an Manager, R&D Data, Data Science & Artificial Intelligence - Immunology Real World Evidence to join our Data, Data Science and Artificial Intelligence team (DDSAI) and work at one of our sites in either Spring House, PA, Cambridge, MA, Titusville, NJ, or Raritan, NJ (no fully remote option available).

The Manager, R&D Data, Data Science & AI (DDSAI), Immunology RealWorld Evidence (RWE), is an individual contributor responsible for supporting data science and realworld evidence activities for Immunology research and development programs. The role applies established realworld methodologies to generate insights that inform clinical development and internal scientific decisionmaking.

Working under guidance within a defined scope, the Manager partners with crossfunctional teams to translate disease and therapeutic area priorities into actionable research questions while aligning with established functional strategies, standards, and governance frameworks.

Key Responsibilities

• Support the execution of realworld and digital health evidence plans aligned with Immunology disease and therapeutic area objectives.
• Contribute to defined evidence generation workstreams supporting clinical development programs, including evidence gap assessment, patient characterization, subgroup identification, endpoint exploration, asset differentiation, and comparative effectiveness analyses.
• Apply established data science and statistical methods to realworld data sources to address prioritized scientific and development questions.
• Collaborate with Disease Area Strongholds, Compound Development Teams, and crossfunctional partners to help ensure deliverables meet program evidence needs and timelines.
• Support project activities, including data fitforpurpose assessment, protocol development, results documentation and interpretation, and stakeholder communication throughout the project life cycle.
• Provide methodological input within crossfunctional teams and escalate complex technical questions to senior colleagues as appropriate.
• Prepare analytical summaries, presentations, and written materials for review by internal stakeholders and governance forums.
• Contribute to scientific manuscripts, abstracts, and internal knowledgesharing activities based on clinical trial and realworld analyses.
• Support external scientific collaborations by contributing to realworld evidence deliverables under guidance from senior team members.
• Participate in crossfunctional initiatives that enhance data science, digital health, and realworld evidence capabilities across the organization.

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

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 relevant experience may be considered.)
• Relevant experience applying or supporting data science or realworld evidence methods within pharmaceutical R&D, healthcare analytics, consulting, or a related professional field.
• Ability to work effectively within matrixed, crossfunctional teams.
• Familiarity with realworld data sources such as electronic health records, administrative claims, registries, or secondary data.
• Strong analytical, problemsolving, communication, and collaboration skills.

Preferred Qualifications

• Exposure to Immunology or related therapeutic area programs.
• Experience contributing to research projects using statistical methods, predictive modeling, or machine learning.
• Experience supporting scientific publications, abstracts, or regulatorysupporting analyses.

This position will be located at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, or Raritan NJ (no fully remote option available). Domestic and international travel may be required on a limited basis.
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 & 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 $117,000 to $201,250. 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:

Advanced Analytics, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Give Feedback, Inclusive Leadership, Leadership, Proactive Behavior, Resource Allocation, Strategic Thinking, Team Management