Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Johnson & Johnson

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

Johnson & Johnson

. Contribute to real-world and DDSAI evidence plans aligned with Immunology disease and therapeutic area objectives .

Posted 10/7/2026full-timeUnited StatesSenior💰 $137,000 - $235,750 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and statistical methodologies applied to real-world evidence in the context of Immunology and therapeutic area objectives. Proven ability to lead evidence generation workstreams and collaborate effectively with cross-functional teams while managing stakeholders and delivering analytical insights.

Highest-signal resume keywords
PhD, PharmD, MD, Or Equivalent Advanced DegreeData Science MethodologiesReal-World Evidence MethodsStakeholder ManagementImmunology Therapeutic Area Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical MethodologiesPredictive ModelingMachine LearningData Fit-For-Purpose AssessmentProtocol DevelopmentComparative Efficacy StudiesResults DocumentationAnalytical Summaries PreparationScientific Manuscript ContributionEnd-User Data Analysis
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration SkillsStakeholder Engagement
Tools & Technologies
Electronic Health RecordsAdministrative ClaimsRegistriesSecondary Data Sources
Industry Keywords
Pharmaceutical R&DHealthcare AnalyticsEpidemiologyBioinformaticsComputational Biology

About the role

Key responsibilities & impact
  • Contribute to real-world and DDSAI evidence plans aligned with Immunology disease and therapeutic area objectives
  • Lead defined evidence generation workstreams supporting clinical development programs
  • Identify evidence gaps, characterize patients and subgroups, explore and validate novel endpoints, differentiate assets, and conduct comparative efficacy and effectiveness studies
  • Apply data science and statistical methodologies to real-world data sources
  • Collaborate with Disease Area Strongholds, Compound Development Teams, and cross-functional partners
  • Execute end-to-end project activities, including data fit-for-purpose assessment and validation, protocol development, results documentation and interpretation, and stakeholder management
  • Serve as a technical subject-matter expert and provide methodological recommendations
  • 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
  • Support external scientific collaborations and joint project deliverables
  • Participate in initiatives enhancing data science, digital health, and real-world evidence capabilities

Requirements

What you’ll need
  • 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
  • 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
  • May require up to approximately 10% travel

Benefits

Comp & perks
  • Annual performance bonus
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Short- and long-term disability insurance
  • Business accident insurance
  • Group legal insurance
  • Pension plan
  • 401(k) savings plan
  • 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
  • Work, Personal and Family Time — up to 40 hours per calendar year
  • Remote work arrangements in the US may be considered on a case-by-case basis if approved by the company