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Principal Scientist Jobs in Delaware (NOW HIRING)

Research Scientist - Invitro Full Time Regular Sr Professional-Lab Newark, DE, US 4 days ago ... As the Principal Investigator, incumbent will fill the role of Technical Leader, and be responsible ...

As a Research Scientist, you will be a key contributor in QPS' Drug Metabolism and Pharmacokinetics ... As the Principal Investigator, incumbent will fill the role of Technical Leader, and be responsible ...

Responsibilities The ZTNA Principal Architect & Program Lead is responsible for defining, governing ... Education Requirement Bachelor's degree in Computer Science, Information Security, or related ...

Responsibilities The ZTNA Principal Architect & Program Lead is responsible for defining, governing ... Education Requirement • Bachelor's degree in Computer Science, Information Security, or related ...

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Showing results 1-20

Principal Scientist information

See Delaware salary details

$68.6K

$144.1K

$190.7K

How much do principal scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for principal scientist in Delaware is $144,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $169,100.00 per year, depending on experience, location, and employer.

What is a principal scientist?

A principal scientist takes the lead in research and development on a project. Staff researchers turn to the principal scientist for guidance and direction. As a principal scientist, your job duties include developing the research strategies to be used on the project, directing the research of staff scientists assigned to the project, and monitoring the progress of the study. The principal scientist may also be required to report progress to management and the funding organization.

How does a principal scientist typically collaborate with cross-functional teams in a research organization?

Principal Scientists often serve as key liaisons between research, development, and business units. They lead project teams, facilitate knowledge sharing, and ensure scientific strategies align with organizational goals. Collaboration may involve guiding junior scientists, working with regulatory affairs, and coordinating with manufacturing or quality assurance departments to translate research findings into practical applications. Effective communication and leadership skills are essential, as Principal Scientists must synthesize diverse perspectives to drive projects forward.

What are the key skills and qualifications needed to thrive as a principal scientist, and why are they important?

To thrive as a Principal Scientist, you need advanced expertise in your scientific discipline, a doctoral degree (PhD or equivalent), and a solid track record of research accomplishments. Familiarity with specialized laboratory equipment, data analysis software, and compliance with regulatory standards is typically required. Strong leadership, project management, and communication skills are essential for mentoring teams and collaborating across departments. These competencies enable Principal Scientists to drive innovation, ensure scientific rigor, and deliver impactful research outcomes.

What is the difference between Principal Scientist vs Senior Scientist?

AspectPrincipal ScientistSenior Scientist
Required CredentialsAdvanced degrees (PhD or equivalent), extensive research experienceMaster's or PhD, significant research background
Work EnvironmentLeads research projects, strategic planning, cross-functional collaborationConducts experiments, data analysis, supports project goals
Employer & Industry UsageResearch institutions, biotech, pharma, tech companiesResearch labs, R&D departments in similar industries

The main difference between a Principal Scientist and a Senior Scientist lies in their level of responsibility and scope. Principal Scientists typically lead research initiatives, set strategic directions, and have more experience, while Senior Scientists focus on executing research tasks and supporting project objectives. Both roles require advanced degrees and research expertise, but Principal Scientists hold a higher leadership and strategic role within organizations.

How much does a principal scientist earn?

A principal scientist typically earns between $100,000 and $160,000 annually, depending on experience, industry, and location. They often hold advanced degrees and have extensive expertise in their field, which can influence salary levels.

What are popular job titles related to Principal Scientist jobs in Delaware?

For Principal Scientist jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Principal Scientist jobs?

Cities in Delaware with the most Principal Scientist job openings:

What are popular job titles related to Principal Scientist jobs in DE?

For Principal Scientist jobs in DE, the most frequently searched job titles are:

Infographic showing various Principal Scientist job openings in Delaware as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $144,133 per year, or $69.3 per hour.

Lead Principal Applied Scientist - Robotics

Ll Oefentherapie

Dover, DE • On-site

$158 - $355/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Lead Principal Applied Scientist - Robotics

United States

  • Job Identification 338681
  • Job Category Product and Research
  • Posting Date 06/30/2026, 03:02 PM
  • Job Type Regular Employee
  • Does this position require a security clearance? Yes
  • Years 6 to 10+ years
  • Applicants are required to read, write, and speak the following languages English
Job Description

The IC5 Applied Scientist for Robotics, Perception, and Embodied AI will serve as a senior technical leader responsible for defining, prototyping, and delivering AI capabilities for commercially viable robotic systems. This role partners across science, software engineering, product, and hardware teams to identify high-impact opportunities, translate ambiguous product needs into research and engineering roadmaps, and guide end-to-end solution development from data collection and experimentation through production deployment. The scientist will lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning, reinforcement learning, and action-conditioned planning, with a strong bias for hands‑on execution and full-stack delivery.

Responsibilities Key Responsibilities Solution Identification and Strategy

Partner with science, engineering, product, and hardware leaders to identify strategic product needs where robotics, perception, and embodied AI can create measurable customer and business impact.

Evaluate academic literature, industry benchmarks, robotics platforms, and commercially viable robot APIs to assess feasibility, technical difficulty, and delivery risks.

Break down ambiguous robotics and AI problems into clear research plans, model architectures, data requirements, evaluation criteria, and production milestones.

Set science quality standards for applied robotics workstreams, including perception accuracy, latency, robustness, safety, reliability, and operational feedback metrics.

Prioritize solutions using the scientific process, including modeling approaches, evaluation techniques, data collection strategies, and risk/reward tradeoffs.

Applied Research and Model Development

Lead the design and execution of research programs and POCs for sensors, multi-sensor fusion, real-time signal processing, and perception systems.

Develop and guide approaches for object detection, tracking, activity recognition, scene understanding, and related perception capabilities in real-world environments.

Advance multimodal AI systems that combine signals such as camera, depth, lidar, audio, telemetry, proprioception, and task context.

Apply reinforcement learning, action‑conditioned planning, decision‑making, and reasoning methods to enable robot behaviors that are robust, measurable, and product‑relevant.

Define dataset strategy, data quality criteria, labeling approaches, simulation or synthetic data opportunities, and evaluation protocols for robotics and embodied AI use cases.

Guide model training, fine‑tuning, optimization, inference design, and compute/latency tradeoffs for real‑time or near‑real‑time deployment scenarios.

Solution Delivery and Production Integration

Lead full‑stack execution across experimentation, data pipelines, model development, evaluation, deployment integration, and production monitoring.

Partner closely with software engineering, machine learning engineering, hardware teams, and product stakeholders to integrate AI capabilities into robotic systems and services.

Evaluate and review high‑complexity code, establish best practices for repositories, version control, code review, documentation, testing, and delivery readiness.

Define operational metrics and user feedback loops to assess delivered solutions in production and inform future technical strategy.

Serve as an escalation point for complex robotics, AI, perception, and systems integration issues, driving root‑cause analysis and durable solutions.

Research Leadership and Influence

Demonstrate thought leadership in at least one business‑critical area such as robot perception, multimodal systems, sensor fusion, reinforcement learning, or embodied AI.

Translate research insights into clear technical recommendations, patents, white papers, design documents, demos, or conference‑quality publications where appropriate.

Mentor and guide scientists and engineers, raising the bar for applied research rigor, experimentation quality, and production readiness.

Establish productive collaborations with internal teams, external research groups, academic partners, or commercial robotics ecosystem partners where relevant.

Core Competencies

Bias for action with a strong hands‑on orientation; able to move from ambiguous idea to prototype, evaluation, and production path quickly.

Ability to execute full‑stack AI workflows spanning data, experimentation, modeling, evaluation, APIs, deployment, and feedback loops.

Strong cross‑functional collaboration with hardware teams, software engineering, ML engineering, product, operations, and leadership stakeholders.

Excellent judgment in balancing scientific rigor, product urgency, systems constraints, safety, reliability, and customer impact.

Clear executive‑level communication; able to explain complex robotics and AI tradeoffs to technical and non‑technical audiences.

Required Technical Expertise

Deep experience in machine learning, artificial intelligence, computer vision, perception, robotics, sensor fusion, real‑time signal processing, or a closely related field.

Experience with perception capabilities such as object detection, tracking, activity recognition, scene understanding, localization, or state estimation.

Experience designing multimodal AI systems that combine heterogeneous data sources and reason over context, actions, and temporal signals.

Practical knowledge of reinforcement learning, planning, sequential decision‑making, robotics control interfaces, or action‑conditioned model behavior.

Strong programming capability in applicable languages such as Python and/or C++, and experience with modern ML frameworks and production‑oriented software practices.

Familiarity with APIs, SDKs, or integration patterns from commercially viable robotics platforms.

Minimum Qualifications

15 years of experience in data science, machine learning, artificial intelligence, robotics, computer vision, signal processing, statistical modeling, data mining, or a related field; OR

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Physics, Robotics, Electrical Engineering, Mechanical Engineering, or related field and 11 years of relevant experience; OR

Master's degree in one of the above or related fields and 9 years of relevant experience; OR

Doctorate in one of the above or related fields and 7 years of relevant experience.

7+ years of hands‑on experience with Python, C++, PyTorch, and ROS for software development, machine learning, and robotics applications.

Demonstrated technical leadership guiding teams and stakeholders toward strategic goals.

Preferred Qualifications

16 years of experience in data science, machine learning, artificial intelligence, robotics, computer vision, perception, signal processing, or related field; OR equivalent degree-based experience aligned to Oracle IC5 guidelines.

2 years of leadership experience with or without direct reports, including technical direction, mentoring, project planning, or cross‑functional execution.

2 years of experience working with operating budgets and/or project financials, where applicable.

5+ years of experience creating technical publications, patents, white papers, peer‑reviewed conference or journal articles, or equivalent technical documentation.

Demonstrated experience delivering robotics, embodied AI, perception, or multimodal systems from research concept into production or customer‑facing environments.

Hands‑on experience with commercial robot platforms, robot SDKs/APIs, simulation environments, telemetry pipelines, and real‑time deployment constraints.

Success Profile

Builds credibility as a senior applied science leader who can bridge research depth with pragmatic product delivery.

Operates comfortably across sensors, models, APIs, hardware/software boundaries, and executive decision‑making forums.

Raises the bar for AI adoption in robotics by creating reusable patterns, evaluation standards, and scalable delivery practices.

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: $158,300 to $355,400 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 Oracle's 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

About Us

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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