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Phd Science Jobs in Delaware (NOW HIRING)

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Application Scientist, Yeast Expert

Wilmington, DE · On-site

PhD or Master's degree in Microbiology, Fermentation Science, Yeast Physiology, Bioprocess Engineering, Chemical Engineering, or a related field * Industry experience in fuel ethanol and/or potable ...

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Phd Science information

See Delaware salary details

$24.5K

$48.4K

$79.1K

How much do phd science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for phd science in Delaware is $48,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

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

To thrive as a PhD Scientist, you need advanced expertise in your scientific discipline, strong research skills, and a doctoral degree (PhD) in a relevant field. Familiarity with specialized laboratory equipment, data analysis software (such as R or Python), and publication processes is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for presenting complex findings and collaborating with peers. These skills and qualifications are crucial for driving innovative research, producing publishable results, and contributing to scientific advancement.

What is a PhD in Science?

A PhD in Science is the highest academic degree awarded in scientific fields such as biology, chemistry, physics, or environmental science. It typically involves several years of advanced coursework, followed by original research that contributes new knowledge to the field. Graduates must defend a dissertation before a panel of experts. Earning a PhD in Science prepares individuals for careers in academia, research, industry, and leadership roles within scientific organizations.

What is the difference between Phd Science vs Data Scientist?

AspectPhd ScienceData Scientist
Required CredentialsPhD in a scientific field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch roles, scientific analysis, product developmentData analysis, machine learning, predictive modeling

While both roles involve analytical skills and data handling, Phd Science focuses on scientific research and experimentation, often in academic or R&D settings. Data Scientists primarily analyze large datasets to inform business decisions and develop models in industry environments. The key difference lies in their application areas and typical work environments.

What jobs can a PhD get you?

A PhD in science can lead to careers in research, academia, industry, or government agencies. Common roles include research scientist, university professor, data analyst, scientific consultant, or laboratory manager. These positions often require strong analytical skills, specialized knowledge, and familiarity with research tools and methodologies.

What jobs pay 10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree include roles like sales managers, real estate brokers, and certain skilled trades such as electricians or plumbers, especially with experience and certifications. Freelance consulting, digital marketing, and tech roles like web development or IT support can also offer high earnings based on skills and client base.

What can a PhD in science get you?

A PhD in science can lead to careers in research, academia, industry, or government, often involving roles such as scientist, researcher, or professor. It typically requires advanced knowledge of scientific methods, data analysis, and specialized tools, and may involve publishing research and securing funding.

What are the typical career advancement paths for someone with a PhD in Science in academia and industry?

Individuals with a PhD in Science often start in postdoctoral or entry-level research positions, where they build specialized expertise and publish their findings. In academia, advancement typically involves progressing to assistant, associate, and full professor roles, with additional opportunities to lead research groups or departments. In industry, PhD holders can move into senior scientist, project manager, or R&D director roles, with the potential to transition into leadership, policy, or consulting positions. Building a strong professional network, publishing impactful research, and developing leadership skills are key to advancing in both sectors.

What jobs can I do with a PhD in science?

A PhD in science qualifies individuals for research scientist, university professor, laboratory director, or scientific consultant roles. These positions often require strong analytical skills, familiarity with laboratory tools, and the ability to conduct independent research or teach at higher education institutions.
What are popular job titles related to Phd Science jobs in Delaware? For Phd Science jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Phd Science jobs in Delaware look for? The top searched job categories for Phd Science jobs in Delaware are:
Phd Science jobs near you
Infographic showing various Phd Science job openings in Delaware as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $48,433 per year, or $23.3 per hour.
Principal Data Scientist-Payments-Executive Director

Principal Data Scientist-Payments-Executive Director

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 17 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence.

Treasury teams are under pressure to make faster decisions with better data-without increasing risk. In this role you will drive the data science and AI efforts that help shape the future of the corporate treasury. 

 As a Principal, Data Scientist in the Payments Data & Analytics organization you will partner with the product organization in developing and scaling agentic, AI-native treasury products, grounded in real practitioner workflows.

Job responsibilities

  • Define and drive the AI strategy for client facing agentic corporate treasury solutions, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
  • Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
  • Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Payments business
  • Drive evaluation frameworks, experimentation (including A/B testing and causal inference), and strategies that improve client experience
  • Attract and retain top analytics talent through hiring, onboarding, and skills development programs. 

Required qualifications, capabilities and skills:

  • PhD in a quantitative discipline (e.g., computer science, data science, statistics, econometrics, or related) with 10+ years of progressive analytics and data science experience spanning both hands-on development and enterprise-scale leadership responsibilities
  • Deep technical expertise across applied data science, including predictive modeling, statistical analysis, customer/behavioral segmentation, and experimental design, with the ability to coach others and establish engineering-quality standards for analytic work
  • Languages & Modeling skills: Python, JavaScript, PHP, SQL, C#, Predictive & Causal Modeling
  • AI/ML Platform expertise: MLOps (MLFlow, Metaflow, DataRobot), Generative AI, AI Observability, NLP
  • Proven track record translating machine learning and analytics into measurable business outcomes, including defining the decision to be improved, building the model/measurement approach, and driving adoption through product, operations, and executive stakeholders
  • Strong strategic and commercial acumen, with the ability to frame ambiguous analytical questions into executable roadmaps and translate findings into executive-ready narratives, trade-offs, and recommendations
  • Experience leading analytics across multiple concurrent business domains (e.g., product, customer lifecycle, operations, growth, or planning), balancing near-term delivery with longer-term capability building (data foundations, tooling, and reusable methods)
  • Exceptional stakeholder management and communication skills, including influencing senior leaders, aligning cross-functional partners, and managing competing priorities while maintaining trust and momentum

Preferred qualifications, capabilities and skills: 

  • Experience applying analytics to global scale, B2B digital products and lifecycle management, including acquisition, onboarding, engagement/retention, segmentation-driven personalization, and monetization decisioning
  • Exposure to modern generative AI approaches (e.g., large language models, retrieval-augmented generation patterns, and workflow/agent concepts), with the ability to evaluate feasibility, risk, and business value even when not acting as the primary model developer
  • Practical experience with causal inference and experimentation at scale, including A/B testing, uplift measurement, and designing experiments that work within real-world product and operational constraints
  • Familiarity with responsible AI principles and analytics governance (e.g., model risk management concepts, documentation, monitoring, and bias/robustness considerations), with the judgment to operate effectively in more regulated or higher-reputational-risk environments
  • Demonstrated ability to drive analytics adoption through organizational enablement, such as self-service measurement tools, standardized metric definitions, data stewardship practices, and change management for new decision processes
  • Comfort operating in Agile/product-oriented delivery models, partnering with product and engineering teams to translate business problems into iterative roadmaps and measurable releases
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

A part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money, and assets. The team of experts tackles complex challenges at every stage of the payment lifecycle. And their industry-leading solutions facilitate seamless transactions across borders, industries, and platforms.

Operating in over 160 countries and handling more than 120 currencies, J.P. Morgan Payments business is the largest processor of USD payments, with a daily transaction volume of $10 trillion.

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