Senior Principal Applied Scientist

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Nashville, TN
Salary
$158,300–$355,400 / yr
Posted
24 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $257k
$117k most similar roles pay here $381k

This role pays more than 82% of similar roles. Most pay $177,250–$241,650 — the shaded band above. At the midpoint, this role pays about $257k versus about $209k for comparable roles.

Based on 239 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 666 open roles on FindRole.

Listed pay typically runs $102,300–$223,999 across 619 roles with salary data.

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At a glance

TL;DR · Senior Principal Applied Scientist

As a Sr. Principal Applied Scientist, you will join the team to develop AI-enabled platform capabilities for scientific and data-intensive enterprise use cases. You will work at the intersection of applied natural sciences, data science, and AI engineering to translate complex scientific domain knowledge into practical cloud products. Your daily responsibilities include leading research and experimentation, prototyping solutions for strategic customers, and building scalable, reusable platform services. You will design evaluation methods for models, manage data pipelines, and collaborate with engineers to operationalize production-grade systems. The role requires expertise in fields like molecular biology or chemistry, along with proficiency in Python and common machine learning libraries. You will solve problems involving structured and multimodal datasets while implementing advanced techniques such as retrieval-augmented generation, AI agents, and knowledge extraction for high-impact scientific workflows.

What does a Applied Scientist earn?

Median $208800 from 50 postings across 10 companies.

See salary data

What you'll do

  • Lead research, experimentation, and applied development for AI-enabled scientific and data-intensive platform capabilities.
  • Partner with product managers and strategic customers to translate complex scientific workflows into technical requirements.
  • Rapidly prototype, evaluate, and refine AI solutions while making informed trade-offs based on customer needs.
  • Develop scalable, reusable OCI platform services from specific customer use cases.
  • Design and evaluate data science, AI, and data engineering approaches for multimodal and scientific datasets.
  • Define rigorous evaluation methods, benchmarks, and quality metrics for models and end-to-end capabilities.
  • Collaborate with software engineers to operationalize models and data pipelines into production-grade services.
  • Mentor other scientists and engineers while providing technical leadership on high-impact initiatives.

What we're looking for

  • PhD in a quantitative scientific discipline or a Master's degree with 8+ years of relevant experience.
  • Demonstrated expertise in an applied natural-science domain such as molecular biology, genomics, or bioinformatics.
  • Significant hands-on experience applying data science, machine learning, AI integration, and data engineering to real-world problems.
  • Proven ability to lead complex research-and-development initiatives from problem definition through delivery.
  • Experience working in iterative, customer-driven environments with changing requirements and short feedback cycles.
  • Strong knowledge of experimental design, statistical analysis, data quality, model validation, and quantitative evaluation.
  • Proficiency with Python and common scientific, data-science, or machine-learning libraries and tooling.
  • Experience applying generative AI, LLMs, RAG, or AI agents to scientific workflows (preferred).

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