Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology

Johnson & Johnson

Hybrid

Quick summary

Work type
Hybrid
Location
Cambridge, MA · Raritan, NJ · San Diego, CA · Spring House, PA · Titusville, NJ
Salary
$164,000–$282,900 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $223k
$119k most similar roles pay here $300k

This role pays more than 66% of similar roles. Most pay $162,000–$239,902 — the shaded band above. At the midpoint, this role pays about $223k versus about $201k 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 71 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 68 roles with salary data.

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View all roles at Johnson & Johnson

At a glance

TL;DR · Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology

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The Director of R&D Neuroscience Data, Data Science & Artificial Intelligence for Ophthalmology will lead the Neuroscience Data, Data Science & AI team at Johnson & Johnson, focusing on innovative strategies to accelerate drug discovery and development. This visionary leader will develop advanced AI/ML methods, including computer vision techniques applied to ophthalmic imaging data, to uncover disease mechanisms and identify novel biomarkers. They will also collaborate with cross-functional teams to integrate real-world evidence into clinical trial design and regulatory submissions, ensuring patient-centric solutions are ready for market. The role requires expertise in computational ophthalmology or a related field, deep experience in computer vision and deep learning applied to biomedical imaging, proficiency in Python or R, and strong communication skills to translate complex data insights into actionable strategies. This position offers the opportunity to redefine how we understand and treat eye diseases through cutting-edge digital health technologies and multimodal datasets.

Skills

Python R Bayesian methods Causal inference Longitudinal analyses Computer Vision Deep Learning Multimodal datasets EHRs Wearables Sensors Mobile platforms Data privacy regulations Healthcare data standards AI/ML Generative AI Optical Coherence Tomography Fundus photography

What you'll do

  • Drive the development and application of advanced AI/ML methods for ophthalmic imaging data.
  • Lead the creation and validation of novel digital endpoints to enhance clinical trial design.
  • Develop sophisticated statistical models using real-world and clinical data to inform decision-making.
  • Apply generative AI approaches to integrate multimodal datasets for a holistic understanding of diseases.
  • Integrate RWE into evidence generation strategies to support trial optimization and regulatory submissions.
  • Build strong cross-functional collaborations within the company and spearhead external partnerships.

What we're looking for

  • Advanced degree in computational ophthalmology or related quantitative field.
  • 8+ years of industry experience applying data science to biology/medicine.
  • Deep expertise in computer vision and deep learning for biomedical imaging.
  • Experience with large-scale multimodal clinical datasets and advanced statistical modeling.
  • Hands-on implementation of digital health technologies in clinical settings.
  • Proficiency in programming tools like Python or R for data analysis.
  • Strong communication skills to translate complex insights into actionable strategies.

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