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Data Science In Healthcare Jobs in Delaware (NOW HIRING)

CardWorks

Director, Data Science

Wilmington, DE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Founded in 1997, Merrick Bank is an FDIC-insured financial institution headquartered in South ... The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ...

Td

Senior Manager, Data Science - FCRM Modeling

Wilmington, DE · On-site

$123K - $201K/yr

  • Medical

  • Retirement

  • PTO

... care; makes an impact at work and in our communities by leading with authenticity and supporting ... as health and well-being benefits, savings and retirement programs, paid time off (including ...

La Red Health Center Inc

Data Analyst

Georgetown, DE · On-site

Bachelor's degree in health informatics, Data Science, Statistics, Public Health or a related field. * Minimum of 2-3 of Data Analysis experience in a healthcare environment Language Skills:

Best Egg

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering ... health care plans to choose from, including dental and vision options · Flexible Spending Plans ...

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Showing results 21-40

All JobsData Science In Healthcare JobsData Science In Healthcare Jobs in Delaware

Data Science In Healthcare information

See Delaware salary details

$46K

$165.2K

$243.7K

How much do data science in healthcare jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in healthcare in Delaware is $165,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,600.00 and $170,100.00 per year, depending on experience, location, and employer.

Can a data scientist work in healthcare?

Yes, data scientists can work in healthcare by analyzing medical data, developing predictive models, and improving patient outcomes. They often use tools like Python, R, and SQL, and may require knowledge of healthcare regulations such as HIPAA.

What is data science in healthcare?

Data science in healthcare involves analyzing large sets of medical and patient data to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in this field use tools like machine learning, statistical analysis, and data visualization to extract insights from electronic health records, medical imaging, and other health-related data sources.

What are popular job titles related to Data Science In Healthcare jobs in Delaware?

For Data Science In Healthcare jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Science In Healthcare jobs in Delaware look for?

The top searched job categories for Data Science In Healthcare jobs in Delaware are:

Data Science In Healthcare jobs near you
Infographic showing various Data Science In Healthcare job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,160 per year, or $79.4 per hour.

Data Science Vice President - Card Data Analytics

慨正橡扯

Wilmington, DE • On-site

$120 - $150/hr

Other

Posted 12 days ago

Job description

You can help shape how data and AI drive decisions across our Credit Card business. You will work on high-impact problems end-to-end-translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.

As a Data Science Vice President at JPMorganChase within the Card Data & Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.

Job responsibilities
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI
  • Drive data science and analytics strategies, including recommendations on analytical products and standards
  • Help partners define business problems and scope analytical solutions
  • Build an understanding of problem domains and available data assets
  • Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
  • Perform exploratory statistics and data mining tasks on diverse datasets
  • Communicate findings and obstacles to stakeholders to drive delivery to market
  • Develop subject matter expertise in financial and operational domains
  • Code solutions using strong programming skills
  • Collaborate across teams to deliver the best solutions for clients
Required qualifications, capabilities and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience
  • Exceptional analytical, quantitative, problem-solving, and communication skills
  • Intellectual curiosity for solving business problems
  • Leadership and collaboration skills
  • Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)
  • Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
  • Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
  • Ability to convey complex information to technical and non-technical audiences
Preferred qualifications, capabilities and skills
  • Experience with large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for quality, cost, and latency
  • Understanding of key drivers within the credit card profit and loss statement
  • Financial services background
  • Master of Science degree or equivalent

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. Equal Opportunity Employer/Disability/Veterans.

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