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Weekend Science Jobs in Delaware (NOW HIRING)

Job Type Contract Description Position Summary We are seeking a highly motivated and innovative Scientist/Senior Research Scientist to join our Oncology Drug Discovery team in a hands-on, laboratory ...

Senior Scientist

Wilmington, DE

$88.80K - $121.30K/yr

Analytical Science, Chemical Science, Formulation Science, Physical Science, Pharmaceutical Manufacturing and Supply Chain Management -Knowledge of international GMP and SHE requirements and their ...

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R&D Scientist

Newark, DE · On-site

$65K - $85K/yr

PhD degree in material science, polymer science, synthetic chemistry, or related disciplines. * 1 to 3 years relevant experience in material chemistry. * Expertise in synthesizing new materials.

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R&D Scientist

Newark, DE · On-site

$65K - $85K/yr

PhD degree in material science, polymer science, synthetic chemistry, or related disciplines. * 1 to 3 years relevant experience in material chemistry. * Expertise in synthesizing new materials.

Master's Degree in Data Science, Statistics, Applied Mathematics, or related field required. * Expert knowledge of classical statistical techniques such as linear regression and maximum likelihood ...

A Master of Science degree in a Biological Science is preferred. * A minimum of 2 years of working experience in a microbiology laboratory setting is required, preferably with some experience working ...

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Weekend Science information

See Delaware salary details

$28.5K

$55.2K

$91.1K

How much do weekend science jobs pay per year?

As of May 29, 2026, the average yearly pay for weekend science in Delaware is $55,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $65,100.00 per year, depending on experience, location, and employer.

What is a Weekend Science job?

A Weekend Science job typically involves scientific research, laboratory work, or technical support that takes place on weekends. These roles are common in industries like healthcare, research institutions, and environmental monitoring, where experiments or operations continue beyond standard work hours. Responsibilities may include conducting experiments, analyzing data, maintaining equipment, or assisting with ongoing projects. Weekend Science jobs can be ideal for students, part-time workers, or professionals looking to supplement their income while contributing to scientific advancements.

What are the key skills and qualifications needed to thrive in the Weekend Science position, and why are they important?

To excel in a Weekend Science role, candidates typically need a strong background in biological, chemical, or physical sciences, often supported by a relevant degree or laboratory experience. Familiarity with laboratory equipment, data analysis software, and common safety protocols is essential. Strong attention to detail, communication, and problem-solving skills are important soft skills for this position. These abilities ensure safe, efficient, and accurate completion of experiments and collaboration within the team during weekend shifts.

What are typical responsibilities and work schedules for someone in a Weekend Science position?

Weekend Science professionals are often responsible for conducting experiments, recording data, and maintaining laboratory equipment during weekend shifts. Schedules usually involve working part-time on Saturdays and Sundays, often as part of a rotating team to ensure research continuity. You may collaborate closely with weekday staff through detailed handover notes, so clear communication and documentation are important. This setup allows for extended research hours, supporting projects that require ongoing monitoring or time-sensitive work, and can be ideal for students or those seeking flexible employment in the sciences.
What are the most commonly searched types of Science jobs in Delaware? The most popular types of Science jobs in Delaware are:
What are popular job titles related to Weekend Science jobs in Delaware? For Weekend Science jobs in Delaware, the most frequently searched job titles are:
Data Science Vice President - Card Data Analytics

Data Science Vice President - Card Data Analytics

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 22 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

45th of 141 rated banks


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

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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