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

Johnson & Johnson Innovative Medicine; Raritan (NJ); Híbrido; USD 150 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Employee benefits

Resumo da oferta

Johnson & Johnson Innovative Medicine is seeking a Senior Manager, Data, Data Science & Artificial Intelligence – Immunology Real World Evidence. This role will be based in one of several US locations (Raritan, NJ; Spring House, PA; Titusville, NJ; or Cambridge, MA) with up to ~10% travel, and US remote options may be considered.

The position leads complex data science and real-world evidence strategies to inform Immunology programs, partnering with cross-functional teams to translate disease

Qualificações

• PhD, PharmD, MD or equivalent in a quantitative field such as statistics, bioinformatics, epidemiology, computational biology or data science.
• Experience applying data science or real-world evidence methods in pharma R&D, healthcare analytics or related fields.
• Proven ability to work effectively in matrixed, cross-functional teams.
• Experience with real-world data sources such as EHRs, claims, registries or secondary data.
• Strong stakeholder management, analytics, problem-solving and communication skills.

Responsabilidades

• Contribute to real-world and DDSAI evidence plans aligned with Immunology disease objectives.
• Lead defined evidence-generation workstreams for clinical development programs.
• Apply data science methods to real-world data to address development questions.
• Collaborate with cross-functional partners to meet program evidence needs and timelines.
• Deliver analytical summaries, presentations and written materials for governance forums.

Conhecimentos

PhD

Data science

Real-world evidence

Cross-functional collaboration

Statistical methods

Formação académica

PhD or equivalent

Descrição da oferta de emprego

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.

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.

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.

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: