Associate Director, R&D Neuroscience Data, Data Science & AI - Ophthalmology

Johnson & Johnson

Hybrid

Quick summary

Work type
Hybrid
Location
Cambridge, MA · Raritan, NJ · Titusville, NJ · Spring House, PA · San Diego, CA
Salary
$137,000–$235,750 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $186k
$124k most similar roles pay here $248k

This role pays more than 50% of similar roles. Most pay $162,000–$236,037 — the shaded band above. At the midpoint, this role pays about $186k versus about $199k 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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At a glance

TL;DR · Associate Director, R&D Neuroscience Data, Data Science & AI - Ophthalmology

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The Associate Director of R&D Neuroscience Data, Data Science & AI for Ophthalmology at Johnson & Johnson will lead the development and execution of innovative data strategies to accelerate drug discovery and enhance clinical trial outcomes. This role involves leveraging advanced AI/ML techniques, including computer vision applied to ophthalmic imaging data, to uncover novel biomarkers and endpoints that improve patient care and meet regulatory standards. The candidate will work closely with cross-functional teams in neuroscience, clinical development, and regulatory affairs to integrate real-world evidence into drug development strategies, optimize trial designs, and ensure compliance with healthcare regulations. Essential skills include expertise in computer vision, deep learning for biomedical imaging, advanced statistical modeling, and proficiency in programming languages like Python or R. This position offers a unique opportunity to drive impactful changes in ophthalmic disease treatment through cutting-edge data science applications.

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 images

What you'll do

  • Develop and apply advanced AI/ML methods for ophthalmic imaging data analysis.
  • Validate and implement novel digital endpoints in collaboration with regulatory stakeholders.
  • Integrate real-world evidence into clinical trial design and regulatory submissions.
  • Apply sophisticated statistical models to generate insights on disease progression and treatment outcomes.
  • Forge strategic external partnerships with academic institutions and industry consortia.
  • Lead the development of multimodal data integration strategies for ophthalmic diseases.

What we're looking for

  • Advanced degree in computational ophthalmology or related quantitative field.
  • 6+ years of industry experience applying data science in 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, R for data analysis workflows.
  • Strong communication skills to translate complex insights into actionable strategies.

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