Senior Applied Scientist

Oracle

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Work type: On-site
Location: —
Posted: 3 days ago
Freshness: Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $192k

$132k $246k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$222,500.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Senior Applied Scientist

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The Senior Applied Scientist joins the Oracle Health Data Intelligence team to develop AI-powered solutions designed to help healthcare organizations improve population health. In this hands-on individual contributor role, the scientist will focus on building AI capabilities with a specific emphasis on large language models, agentic systems, model post-training, and evaluation. Day-to-day responsibilities include developing models, building agents, and implementing training and evaluation workflows while collaborating with scientists and engineers to deliver reliable, production-ready systems. The successful candidate must possess strong programming skills and a practical approach to experimentation. The work involves solving technical problems within the healthcare data intelligence domain by creating robust AI systems that can be deployed in production environments to support clinical and population health outcomes.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

See salary data

Skills

Large Language Models Agentic Systems Model Post-training AI Experimentation

What you'll do

Develop AI capabilities with a focus on large language models and agentic systems.
Implement model post-training techniques to improve model performance.
Build and deploy autonomous agentic systems for healthcare applications.
Design and implement comprehensive model evaluation workflows.
Develop production-ready AI systems for population health improvements.
Execute hands-on programming and practical experimentation to build AI models.
Deliver reliable AI solutions by working with scientists and engineers.

What we're looking for

Strong programming skills are required for this hands-on individual contributor role.
Experience developing AI capabilities with an emphasis on large language models is required.
Experience with agentic systems is required.
Experience with model post-training is required.
Experience with model evaluation is required.
Ability to implement training and evaluation workflows is required.
Ability to develop reliable, production-ready systems is required.

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