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

Johnson & Johnson

Quick summary

Work type
On-site
Location
Cambridge, MARaritan, NJSpring House, PATitusville, NJ
Salary
$117,000–$201,250 / yr
Posted
3 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $159k
$104k most similar roles pay here $238k

This role pays less than 65% of similar roles. Most pay $131,725–$213,756 — the shaded band above. At the midpoint, this role pays about $159k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 69 open roles on FindRole.

Listed pay typically runs $118,000–$201,250 across 67 roles with salary data.

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At a glance

TL;DR · Manager, R&D Data, Data Science & Artificial Intelligence – Immunology Real World Evidence

Johnson & Johnson's Innovative Medicine division is hiring a Manager of R&D Data, Data Science & Artificial Intelligence for Immunology Real World Evidence to join their dedicated team in one of four locations: Spring House, PA; Cambridge, MA; Titusville, NJ; or Raritan, NJ. This role involves applying data science and real-world methodologies to generate insights that inform clinical development and internal decision-making within the immunology field. Day-to-day responsibilities include supporting evidence generation workstreams, collaborating with cross-functional teams, and contributing to scientific manuscripts based on analyses of clinical trials and real-world data. The ideal candidate holds a PhD or equivalent in statistics, bioinformatics, epidemiology, computational biology, or related fields, with experience in pharmaceutical R&D or healthcare analytics. Familiarity with electronic health records, administrative claims, registries, and secondary data sources is essential, along with strong analytical and communication skills. Experience in immunology research and predictive modeling is preferred, as is the ability to work effectively within a matrixed team environment.

What you'll do

  • Support the execution of real-world evidence plans aligned with Immunology objectives.
  • Contribute to clinical development programs by addressing prioritized scientific questions using data science methods.
  • Collaborate with cross-functional teams to ensure project deliverables meet program needs and timelines.
  • Prepare analytical summaries, presentations, and written materials for internal stakeholders and governance forums.
  • Apply established methodologies to generate insights that inform clinical development and decision-making.

What we're looking for

  • PhD or equivalent advanced degree in a quantitative field such as statistics, bioinformatics, epidemiology, computational biology, data science.
  • Relevant experience applying data science or real-world evidence methods in pharmaceutical R&D or healthcare analytics.
  • Strong analytical and problem-solving skills with proficiency in real-world data sources like EHRs, claims data, registries.
  • Ability to work effectively within matrixed, cross-functional teams on complex projects.
  • Excellent communication and collaboration skills for stakeholder engagement and project documentation.

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