Sr. Principal Applied Scientist

Description

At Oracle Cloud Infrastructure (OCI) we build the future of the cloud for enterprises as a diverse team of creators and inventors. We combine the speed and mindset of a start-up with the scale security and customer focus of a leading enterprise software company.

OCI is seeking an exceptional Senior Principal Applied Scientist to develop AI-enabled platform capabilities for scientific and data-intensive enterprise use cases. This role will begin by addressing the needs of a large strategic customer and will evolve those learnings into scalable reusable OCI platform capabilities for a broader customer base.

You will work at the intersection of applied natural sciences data science and AI engineering. You will partner closely with product management customers applied scientists and software engineers to define problems develop and evaluate solutions and bring high-quality capabilities into production. This is an ideal role for a scientist who is comfortable operating in a fast-paced environment iterating quickly as customer needs evolve and translating scientific domain knowledge into practical cloud and AI products.

As a Senior Principal Applied Scientist you will provide technical leadership for complex high-impact initiatives. You will establish scientific and technical direction lead research and applied-development efforts influence architecture and product strategy and mentor other scientists and engineers.

Career Level IC5

Responsibilities

What You Will Bring
You are an applied scientist with strong scientific judgment practical technical depth and a customer-oriented mindset. You can move comfortably between scientific inquiry and product delivery: understanding a customers immediate problem designing rigorous experiments working with engineers to build a solution and shaping that solution into a platform capability that can serve many customers. You are energized by ambiguity comfortable iterating quickly and focused on delivering measurable value.

Responsibilities

• Lead research experimentation and applied development for AI-enabled scientific-data and enterprise platform capabilities.

• Work directly with product managers and strategic customers to understand scientific workflows data challenges and evolving requirements.

• Rapidly prototype evaluate and refine solutions; make informed tradeoffs and pivot approach when evidence or customer needs warrant a change.

• Develop customer-focused capabilities with a deliberate path toward reusable configurable OCI platform services.

• Apply expertise in natural sciences such as molecular biology or related disciplines to frame meaningful scientific problems validate solution quality and ensure domain relevance.

• Design and evaluate data-science AI and data-engineering approaches for structured unstructured multimodal and scientific datasets.

• Develop and assess AI solutions including retrieval-augmented generation data enrichment knowledge extraction model evaluation AI agents and AI-assisted scientific workflows where applicable.

• Define rigorous evaluation methods benchmarks quality metrics and validation processes for models and end-to-end platform capabilities.

• Collaborate with software engineers to operationalize models data pipelines evaluation harnesses and AI integrations into secure scalable production-grade services.

• Drive technical design reviews and influence product and platform decisions across science engineering and product organizations.

• Identify emerging methods tools datasets and technologies that can improve OCIs scientific AI and data capabilities.

• Mentor applied scientists and engineers; raise the bar for scientific rigor experimentation documentation and technical execution.

• Communicate technical findings risks tradeoffs and recommendations clearly to technical and non-technical stakeholders.

• PhD in molecular biology bioinformatics computational biology chemistry physics engineering computer science data science or a related quantitative scientific discipline; or a Masters degree with 8 years of relevant industry or research experience.

• Demonstrated expertise in an applied natural-science domain such as molecular biology genomics bioinformatics life sciences or a comparable scientific field.

• Significant hands-on experience applying data science machine learning AI integration data engineering or analytics to real-world scientific or enterprise problems.

• Proven ability to lead complex research-and-development initiatives from problem definition through implementation evaluation and delivery.

• Experience working in an iterative customer-driven environment with changing requirements and short feedback cycles.

• Strong knowledge of experimental design statistical analysis data quality model validation and quantitative evaluation.

• Experience with Python and common scientific data-science or machine-learning libraries and tooling.

• Ability to work effectively across product management engineering science and customer teams.

• Strong written and verbal communication skills including the ability to explain complex scientific and technical concepts clearly.

• Demonstrated technical leadership and a commitment to mentoring others.

• Experience applying generative AI large language models retrieval-augmented generation AI agents or knowledge systems to scientific or data-intensive workflows.

• Experience with scientific-data platforms data pipelines data governance ontology/knowledge-graph systems or cloud-based analytics.

• Experience integrating AI models into enterprise applications or production cloud services.

• Familiarity with model evaluation harnesses benchmarking responsible AI practices and AI quality or safety assessment.

• Publications patents open-source contributions or a record of innovation in relevant scientific AI or data-science fields.

• Experience partnering directly with large enterprise customers to define validate and deploy technical solutions.

• Experience with OCI or another major cloud platform.

Qualifications
Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements such as immunization/occupational health mandates and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $158300 to $355400 per annum. May be eligible for bonus equity and compensation deferral.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge skills experience market conditions and locations as well as reflect Oracles differing products industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical dental and vision insurance including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5