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Science Intern Jobs in Union, NJ (NOW HIRING)

Gagosian

Technology Intern

Manhattan, NY · On-site

$18/hr

Intern Employment Type: Full Time Location: 530 W 25th St Reporting To: Director of Information ... Computer Science, Information Technology, or a related field. - Practical AI literacy and ...

Artech Information System LLC

HR Intern

Morristown, NJ · On-site

$15.50 - $20.50/hr

Staffing (IT, Engineering, Professional, Scientific, Clinical) * Staff Augmentation (Contingent ... Human Resources Intern Location: Morristown, NJ Internship with Artech Information Systems LLC.

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How much do science intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for science intern in Union, NJ is $17.36, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.62 per hour, depending on experience, location, and employer.

What is a science intern?

Science Interns are students or recent graduates who work temporarily in scientific organizations, laboratories, or research facilities to gain practical experience and foundational knowledge in a specific scientific field. Their duties often include assisting with experiments, collecting and analyzing data, and supporting research projects under the supervision of experienced scientists. This role provides an opportunity to apply classroom learning in real-world settings, develop technical and analytical skills, and explore potential career paths in science. Science internships can be found in a variety of sectors, such as academia, healthcare, biotechnology, and environmental science.

What types of projects and tasks can I expect to work on as a science intern?

As a Science Intern, you'll typically support ongoing research or development projects by assisting with data collection, conducting experiments, analyzing results, and preparing reports or presentations. You may also be asked to help maintain laboratory equipment or contribute to literature reviews. The specific tasks depend on the organization's focus, but you will often collaborate closely with scientists, researchers, and other interns, gaining valuable hands-on experience and exposure to real-world scientific processes.

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

To thrive as a Science Intern, you need a solid background in scientific principles, research methods, and data analysis, often supported by ongoing or completed coursework in a relevant STEM field. Familiarity with laboratory equipment, scientific software (such as Excel, SPSS, or Python), and safety protocols is typically required. Attention to detail, curiosity, and strong communication skills help interns effectively contribute to research teams and projects. These skills and qualities are essential to ensuring accuracy, fostering innovation, and supporting the overall goals of scientific research environments.

What are the most commonly searched types of Science jobs in Union, NJ?

The most popular types of Science jobs in Union, NJ are:

What cities near Union, NJ are hiring for Science Intern jobs?

Cities near Union, NJ with the most Science Intern job openings:

Science Intern jobs near you

AI Research Scientist - Intern [2027 Summer]

Two Sigma Investments, LP

New York, NY • On-site

$5.5K/wk

Temporary, Internship

Medical, Dental, Retirement

Re-posted 6 days ago

Job description

AI Research Scientist - Intern [2027 Summer]
Location
NY New York
United States
Business
Investment Management
Function
Quantitative Research
Experience Level
Internship
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Position Summary
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems.
We are looking for creative experts who are interested in applying general Machine Learning and specifically Deep Learning, Large Language Models, and Reinforcement Learning techniques to many types of problems in complex systems, and particularly those with large amounts of noisy data.
This role is only open to MS with work experience and PhDs, both in their penultimate year of study.
You will take on the following responsibilities:
  • Develop effective techniques and/or infrastructure for a specific project/idea under guidance of an experienced member of the team over a time of roughly 10 weeks during the summer
  • In our research environment, you will write code, use the latest AI and machine learning tools, run experiments, discuss approaches and results with others, and generally develop techniques and processes to help improve our understanding of how financial data influences the world around us

You should possess the following qualifications:
  • Working towards a degree in Computer Science, Engineering, or other STEM field, preferably in a PhD program, or in a Master's program with some prior work experience
  • Excellent programming skills in Python (familiarity with Rust/Java is a plus) and deep knowledge of Tensorflow and/or PyTorch
  • Internships/work/course experience using Deep Learning, LLMs and/or Reinforcement Learning
  • Preferably practical experience writing and using data pipelines to handle large amounts of noisy data for machine learning problems
  • Preferably some relevant research experience (that may have led to publications at NeurIPS, ICML, ICLR or similar)
  • Understanding of basic statistics
  • Experience with cloud computing environments and multi-machine setups
  • Curiosity and interest in learning about financial data modeling in a collaborative environment

The weekly base pay for this role will be between $5,000/Week (MS) and $5,500/Week (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

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