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Library Science Internship Jobs in Cranford, NJ (NOW HIRING)

Roku

Senior Data Scientist

New York, NY · On-site

$126K - $199K/yr

Must have prior experience, internship, project background, or advance level coursework in each of ... Python or R and numerical and scientific libraries used for statistics and machine learning ...

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Engineer, Software

New York, NY

$185K - $245K/yr

You'llwork closely with product managers, data scientists, and business leaders to translate ... Act as a technical lead for contractors and interns , providing guidance, code reviews, and ...

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Library Science Internship information

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How much do library science internship jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for library science internship in Cranford, NJ is $15.84, according to ZipRecruiter salary data. Most workers in this role earn between $12.74 and $17.88 per hour, depending on experience, location, and employer.

What is a library science internship?

A Library Science Internship is a temporary, supervised work experience in a library or related information setting, designed for students or recent graduates studying library and information science. Interns gain practical skills in areas such as cataloging, reference services, archival work, and digital resource management. These internships help bridge the gap between academic studies and professional practice, providing valuable hands-on experience and networking opportunities. Many library science programs require or strongly encourage internships as part of their curriculum.

What types of projects or responsibilities can interns expect during a library science internship?

Library Science interns typically engage in a variety of hands-on projects that provide insight into both public-facing and behind-the-scenes aspects of library operations. Common responsibilities include assisting with cataloging and organizing library materials, supporting reference and research services, helping to plan and implement community programs, and working with digital resources and databases. Interns often collaborate with librarians, IT staff, and patrons, offering opportunities to develop professional skills and gain exposure to different library specializations. These diverse tasks help interns build a broad foundation for potential future roles in the library field.

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

To thrive as a Library Science Intern, you need foundational knowledge in library systems, information organization, and research methods, typically gained through coursework in library science or a related field. Familiarity with integrated library systems (ILS), cataloging tools, and digital resource management platforms is often required. Strong attention to detail, communication, and a customer-service mindset are essential soft skills for this role. These capabilities ensure effective support for library operations, quality service for patrons, and efficient management of library resources.

What is the difference between Library Science Internship vs Library Technician?

AspectLibrary Science InternshipLibrary Technician
Required CredentialsTypically pursuing or recent graduate in Library Science or related fieldPost-secondary education or certification in library technology
Work EnvironmentAcademic, public, or special libraries; often temporary or part-timePublic, academic, or special libraries; full-time or part-time roles
Employer & Industry UsageInternship programs for students or recent grads to gain experienceFull-time or part-time staff supporting library operations
Search & Comparison IntentLearning about entry-level or training roles in librariesUnderstanding career pathways or job requirements in libraries

In summary, a Library Science Internship is a temporary, educational position aimed at students or recent graduates to gain practical experience. A Library Technician is a more permanent role requiring specific certifications or education, supporting daily library functions. Both roles are integral to library operations but differ mainly in experience level and employment status.

What cities near Cranford, NJ are hiring for Library Science Internship jobs?

Cities near Cranford, NJ with the most Library Science Internship job openings:

Library Science Internship jobs near you

Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

Manhattan, NY • On-site

F. Hoffmann-La Roche AG
See more jobs at F. Hoffmann-La Roche AGexternal

$160.10 - $344.60/hr

Other

Posted 24 days ago

Job description

Position

Senior or Principal Machine Learning Scientist – Foundation Models team within Prescient Design (gRED), Roche’s AI for Drug Discovery (AIDD).

Responsibilities
  • Lead design and evolution of scientific reasoning systems; set technical direction for model architectures, training strategies, and evaluation methods.
  • Define and execute approaches to improve model performance on scientific tasks, including long‑horizon reasoning and complex decision‑making.
  • Translate biological and chemical domain knowledge into machine learning objectives, training signals and evaluation criteria, working closely with domain experts.
  • Architect and improve large‑scale distributed machine learning systems, ensuring robustness, efficiency and reproducibility across training and evaluation workflows.
  • Partner with researchers and cross‑functional teams to move models from research prototypes to production‑ready systems that support active discovery programs.
  • Own end‑to‑end integrity of large‑scale training runs, from data orchestration to benchmark development.
  • Mentor junior staff and interns, fostering engineering excellence and rapid experimentation.
  • Define long‑term technical roadmap, identify new opportunities and set priorities across initiatives.
  • Architect new initiatives that integrate diverse data modalities, guiding technical direction of cross‑functional projects across gRED.
  • Serve as key technical authority for leadership, influencing how Genentech leverages generative AI to solve high‑stakes problems in the therapeutic pipeline.
Qualifications
  • PhD in Computer Science, Statistics, Mathematics, Physics or related quantitative field.
  • For Senior (SE6): 0‑2+ years industry or post‑doc experience focusing on deep learning.
  • For Principal (SE7): 5+ years industry or post‑PhD experience with demonstrated track record of technical leadership and project ownership.
  • Extensive experience developing and training large‑scale ML models, including approaches to improve domain understanding, reasoning capabilities and model alignment.
  • Strong publication record at top‑tier venues (e.g., NeurIPS, ICLR, ICML).
  • Strong software engineering skills; experience designing and operating large‑scale or high‑performance ML systems.
  • Preferred: experience with molecular modalities (protein sequences, chemical graphs, structured molecular data).
  • Public portfolio of research or significant contributions to open‑source ML libraries.
  • Passion for applying frontier AI to drug discovery.
Benefits & Compensation

Salary ranges vary by location and level:
Senior: $167,400–310,800 in San Francisco; $160,100–297,300 in New York City.
Principal: $194,000–360,400 in San Francisco; $185,600–344,600 in New York City.
Payment includes base salary, discretionary annual bonus and benefits as described.

Relocation

Relocation benefits are NOT available for this posting.

EEO Statement

Genentech is an equal‑opportunity employer. We are committed to employing, promoting and treating all employees and applicants fairly based on merit, qualifications and competence. Our policies prohibit unlawful discrimination.

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