1

Library Scientist Jobs in Lewes, DE (NOW HIRING)

... life sciences space? As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This ...

... life sciences space? As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This ...

Library Scientist information

See Lewes, DE salary details

$50.2K

$110.7K

$136.7K

How much do library scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for library scientist in Lewes, DE is $110,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $136,200.00 per year, depending on experience, location, and employer.

What is a library scientist?

Library scientists, also known as library and information scientists, are professionals who manage, organize, and facilitate access to information resources in libraries and related institutions. They use their expertise in information science, technology, and research to classify, preserve, and retrieve data for users. Library scientists also develop systems for cataloging, digital archiving, and improving information accessibility. Their work supports education, research, and the dissemination of knowledge in various settings, including public, academic, and special libraries.

What are the key skills and qualifications needed to thrive as a library scientist?

To thrive as a Library Scientist, you need a solid grounding in information science, research methodologies, and data organization, usually supported by a master's degree in library and information science (MLIS). Familiarity with cataloging systems (like MARC), digital archives, and library management software is typically required. Strong analytical thinking, attention to detail, and excellent communication skills help set outstanding professionals apart in this field. These skills ensure efficient information management, user support, and the advancement of library services in an evolving digital environment.

What are some typical challenges faced by library scientists in managing digital collections?

Library Scientists often encounter challenges in managing digital collections, such as ensuring proper metadata standards, integrating new technologies, and safeguarding digital assets against data loss or obsolescence. They must balance accessibility for users with copyright and licensing restrictions, and regularly evaluate digital preservation strategies. Collaboration with IT professionals and ongoing training are essential for staying current with evolving best practices in digital library science.

What is the difference between Library Scientist vs Librarian?

AspectLibrary ScientistLibrarian
Required CredentialsMaster's degree in Library Science or related field, often with research experienceMaster's degree in Library Science (MLS) or equivalent
Work EnvironmentResearch institutions, academic settings, specialized librariesPublic, school, academic, or special libraries
Employer & Industry UsageResearch organizations, universities, government agenciesPublic libraries, schools, universities, corporate libraries
Common Search & ComparisonResearch roles, data analysis, library science researchLibrary management, user services, collection development

While both Library Scientists and Librarians hold master's degrees in Library Science, Library Scientists focus more on research, data analysis, and developing new library systems, often working in academic or research settings. Librarians typically manage library operations, assist users, and curate collections in public or educational libraries. The roles overlap in credentials but differ in focus and work environment.

How much does a library scientist make?

The average salary for a library scientist is around $60,000 to $80,000 per year, depending on experience, education, and location. Professionals in this role often hold advanced degrees and may work in academic, public, or research libraries, utilizing specialized skills in information management and data analysis.

Is library science still in demand?

Library scientists, or librarians, continue to be in demand for managing information resources, digital collections, and community services. Employment opportunities are expected to grow steadily, especially with skills in digital tools, data management, and information technology.

What does a library scientist do?

A library scientist researches, develops, and manages information systems and library technologies to improve access to information. They analyze data, design databases, and implement digital tools, often using programming and data management skills, to enhance library services and information retrieval. The role may also involve developing policies and training staff on new systems.

What job categories do people searching Library Scientist jobs in Lewes, DE look for?

The top searched job categories for Library Scientist jobs in Lewes, DE are:

Infographic showing various Library Scientist job openings in Lewes, DE as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $110,675 per year, or $53.2 per hour.

John Snow Labs US-Based Healthcare Data Scientist

John Snow Labs

Lewes, DE • On-site

Contractor

Re-posted 2 days ago


Job description

Company Description

John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.

John Snow Labs is the developer of Spark NLP - the world's most widely used NLP library in the enterprise - and is the world's leading provider of state-of-the-art clinical NLP software, powering some of the world's largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master's degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

Job Description

John Snow Labs is seeking a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready model inference pipelines, and conducting comprehensive exploratory data analysis and data enrichment.

Qualifications

Key Responsibilities:

  • Train, fine tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage.
  • Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating uncertain information from multiple medical data sources.
  • Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large language models, and time series forecasting pipelines tailored to address specific business needs.
  • Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness.
  • Engage directly with customers, requiring strong oral and written communication skills to convey complex technical concepts clearly.

Mandatory Skills:

  • Proven experience in consistently delivering real-world projects covering the key responsibilities. Knowledge that is limited to an academic setting, or to using existing APIs to building applications, is not sufficient for this role.
  • Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey.
  • Strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial.
  • A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
  • Experience with John Snow Labs' technology stack, such as Spark NLP or the medical language models, is a plus.

What We Offer:

  • A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes.
  • Long-term freelancing contracts with a commitment of at least 30 hours per week. We are seeking individuals, not agencies or teams.
  • The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.

To apply, please include the words 'John Snow Labs' in your cover letter and detail why you believe you are the best fit for this role. This is more than just a contract - it's a chance to make a real difference.

Additional Information

Our Commitment to You  

At John Snow Labs, we believe that diversity is the catalyst of innovation. We're committed to empowering talented people from every background and perspective to thrive.   

 We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com 

  • We are a fully virtual company, collaborating across 28 countries.
  • This is a contract opportunity, not a full-time employment role.
  • This role requires the availability of at least 30-40 hours per week.