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Junior Lab Assistant Jobs in Edison, NJ (NOW HIRING)

Assistant Graphic Designer / Associate Graphic Designer / Senior Associate Graphic Designer ... Review strike-offs, lab dips, and artwork submissions, providing clear and actionable feedback to ...

Design and build complex lab environments simulating enterprise architectures * Develop and execute ... Mentor and develop engineers across the practice, from junior to senior levels * Assist in talent ...

Designer

New York, NY · On-site

$27.47/hr

Coordinate and track all sample submissions, lab dips, and design approvals * Manage incoming and ... Maintain organized design libraries, records, and sample archives * Assist in the preparation of ...

Research Technician

New York, NY · On-site

$19.75 - $27/hr

We have an exciting opportunity to join the Afantis Lab as a Research Technician. We are seeking a ... Working closely with the Principal Investigator and junior faculty, the successful candidate will ...

Track and follow up on samples, lab dips, trims, approvals, and bulk production * Maintain detailed ... practices * Assist in mentoring or guiding junior Production team members as needed Required ...

Showing results 41-60

Junior Lab Assistant information

See Edison, NJ salary details

$19.7K

$54.3K

$91.1K

How much do junior lab assistant jobs pay per year?

As of Aug 20, 2026, the average yearly pay for junior lab assistant in Edison, NJ is $54,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,300.00 and $59,500.00 per year, depending on experience, location, and employer.

What does a junior lab assistant do?

A Junior Lab Assistant supports scientists and senior lab staff by performing routine laboratory tasks such as preparing samples, organizing equipment, cleaning workspaces, and recording data. They help ensure that experiments run smoothly by maintaining an organized and safe laboratory environment. Junior Lab Assistants may also assist with basic experiments and handle administrative tasks, making them an essential part of the lab team. This role is often entry-level and provides valuable hands-on experience for those interested in scientific research or laboratory work.

What skills and qualifications are needed to be a junior lab assistant?

To thrive as a Junior Lab Assistant, you need a basic understanding of laboratory techniques, safety protocols, and often a high school diploma or associate degree in a science-related field. Familiarity with lab equipment, data entry systems, and basic software like Microsoft Excel is typically required. Attention to detail, strong organizational skills, and the ability to follow instructions precisely are valuable soft skills. These competencies ensure the accuracy and safety of lab procedures, supporting reliable research and daily operations.

What challenges might a junior lab assistant face when learning to maintain laboratory equipment?

As a Junior Lab Assistant, you may encounter challenges in understanding the proper handling and calibration of complex laboratory equipment, especially when you are new to the environment. Each instrument may have specific maintenance protocols, and mistakes can impact research outcomes. However, most labs provide hands-on training and mentorship from senior staff, so being proactive in asking questions and carefully following standard operating procedures can help you quickly build confidence and competency.

What is the difference between Junior Lab Assistant vs Laboratory Technician?

AspectJunior Lab AssistantLaboratory Technician
Required CredentialsHigh school diploma or equivalent; some roles may require certificationAssociate degree or relevant certification in laboratory sciences
Work EnvironmentEducational, research, or clinical labs; supervised settingClinical, research, or industrial labs; more independent tasks
Employer & Industry UsageEducational institutions, research centers, hospitalsHospitals, biotech firms, pharmaceutical companies
Common Search & ComparisonEntry-level, support roles in labsTechnical, more specialized lab work

The main difference between a Junior Lab Assistant and a Laboratory Technician lies in their qualifications and responsibilities. Junior Lab Assistants typically have a high school diploma and perform basic support tasks under supervision, while Laboratory Technicians usually hold an associate degree and handle more technical, independent duties. Both roles are essential in laboratory settings, but Laboratory Technicians often require more specialized training and experience.

Can you get a junior lab assistant job with no experience?

Junior lab assistant positions often require little to no prior experience, making them accessible to entry-level candidates. Employers typically look for basic knowledge of laboratory procedures, attention to detail, and the ability to follow safety protocols; relevant coursework or certifications can also be beneficial. On-the-job training is common, and demonstrating enthusiasm and a willingness to learn can improve chances of hiring without experience.

What are popular job titles related to Junior Lab Assistant jobs in Edison, NJ?

For Junior Lab Assistant jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Junior Lab Assistant jobs in Edison, NJ look for?

The top searched job categories for Junior Lab Assistant jobs in Edison, NJ are:

Infographic showing various Junior Lab Assistant job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $54,311 per year, or $26.1 per hour.

Member of Technical Staff, Bayesian Statistics

Ataraxis AI

New York, NY • On-site

$100K - $300K/yr

Full-time

Posted 9 days ago


Job description

About Ataraxis AI
Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients.
Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.
Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide.
At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.
Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity).
We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.
Responsibilities
  • Design and implement novel Bayesian statistics methods.
  • Translate machine learning papers into production-ready code.
  • Build robust model evaluation frameworks.
  • Disseminate the results by co-authoring research papers and abstracts.
  • Collaborate with a multidisciplinary team of engineers and scientists.
  • Co-mentor junior members of the team.
Qualifications
  • PhD degree in statistics or machine learning.
  • Excellent knowledge of Bayesian statistics, including Gaussian processes and Bayesian clinical trial design.
  • Passion for research, attention to detail and ability to drive tasks to completion. Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR) or top-tier statistics journals.
  • Excellent understanding of core machine learning concepts.
  • Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
  • Excellent skills in Python and PyTorch.
  • Experience with applying Bayesian statistics to uncertainty quantification in deep learning and model explainability.
  • Experience in deep learning. Experience in self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability and computational pathology is a bonus.