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Remote Natural Language Processing Jobs in North Carolina

Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ... Apply natural language processing techniques to extract structured information from clinical test ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... Natural Language Processing, and visualization tools such as Tableau, Strategy and QLIK is a plus.

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

... AI, natural language processing, RAG, and related solutions. * Experience preparing and ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

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Remote Natural Language Processing information

What is a remote natural language processing job?

A Remote Natural Language Processing (NLP) job involves working with computer systems that can understand, interpret, and generate human language. Professionals in this field typically develop algorithms and models to process text or speech, enabling applications like chatbots, translation services, sentiment analysis, and more. Working remotely means that all tasks, collaboration, and communication are conducted online, allowing flexibility in location. This role usually requires a background in computer science, linguistics, or data science, along with experience in machine learning and NLP frameworks.

What are some common challenges faced by professionals working remotely in natural language processing roles, and how can they be addressed?

Professionals in remote Natural Language Processing (NLP) roles often face challenges such as effective communication with distributed teams, staying updated with fast-evolving NLP technologies, and managing large datasets securely. To address these, it's important to establish regular check-ins with team members, participate in virtual communities and training, and use secure, cloud-based collaboration tools for data handling. Proactively engaging in code reviews and knowledge-sharing sessions also helps maintain alignment and fosters innovation within remote NLP teams.

What are the key skills and qualifications needed to thrive as a remote natural language processing specialist, and why are they important?

To thrive as a Remote Natural Language Processing (NLP) Specialist, you need strong expertise in linguistics, programming (especially Python), and a solid foundation in machine learning, typically supported by a relevant degree in computer science or computational linguistics. Familiarity with NLP frameworks and libraries such as NLTK, spaCy, and TensorFlow, as well as experience working with cloud platforms and version control systems, is essential. Excellent problem-solving abilities, communication skills, and the capacity to work independently are vital soft skills for remote collaboration and project delivery. These skills ensure the development of effective language models and applications, smooth team communication, and the ability to meet project goals in a remote environment.

What is the difference between Remote Natural Language Processing vs Remote Data Scientist?

AspectRemote Natural Language ProcessingRemote Data Scientist
Required credentialsDegree in Computer Science, Data Science, or Linguistics; experience with NLP toolsDegree in Data Science, Statistics, or related fields; programming skills
Work environmentFocus on language data, text analysis, NLP modelsBroader data analysis, statistical modeling, machine learning
Employer usageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Search intentJobs involving language processing, NLP projectsData analysis, predictive modeling, data-driven insights

Remote Natural Language Processing specialists focus on developing and implementing language-based AI models, while Remote Data Scientists work on analyzing diverse data sets to inform business decisions. Both roles require strong technical skills, but NLP roles are more specialized in language data, whereas Data Scientists handle a broader range of data types.

What are the most commonly searched types of Natural Language Processing jobs in North Carolina? The most popular types of Natural Language Processing jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Natural Language Processing jobs? Cities in North Carolina with the most Remote Natural Language Processing job openings:

Sr Curation Scientist

Labcorp

Durham, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,135 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories


Job description


Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you'll have the opportunity to do meaningful work, grow your career and make a real impact on people's health around the world. Together, we're improving health and improving lives.


Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity.

Work Schedule: This is a full time, exempt (salaried) position. Standard business hours align with Monday through Friday, 8:00 a.m. to 5:00 p.m. in the employee's local time zone. Business needs may occasionally require flexibility in work hours, with reasonable notice provided when possible.

Work Authorization: This position requires permanent authorization to work in the United States without employer sponsorship now or in the future. Sponsorship (including H-1B, OPT/CPT, EAD, or other temporary work authorization) is not available.

Job Responsibilities

  • Collaborate with members of the Oncology Data Curation team and crossfunctional partners to design data structures in JSON and relational formats that reflect the complexity of oncology testing data.
  • Interpret oncology diagnostic test results to accurately map them into enterprise data models.
  • Develop mappings between clinical test results and enterprise data warehouse structures to enable largescale data integration.
  • Apply and maintain clinical data standards including ICDO3, FHIR, mCODE, LOINC, ICD10, UMLS, SNOMED, and related standards as appropriate.
  • Standardize disease and biomarker data using controlled biomedical vocabularies and classifications.
  • Expand and maintain biomedical ontologies to support evolving oncology knowledge.
  • Apply natural language processing techniques to extract structured information from clinical test results.
  • Curate, analyze, harmonize, and manage large oncology data sets while ensuring high data quality standards.
  • Partner with engineering teams and participate in the full development lifecycle, from research and prototyping through production deployment.
  • Support data quality, governance, and continuous improvement initiatives across oncology data platforms.

Minimum Qualifications

  • Bachelor's degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational Biology, or Biostatstics with 5 or more years of experience; or Master's degree with 3 or more years of experience.
  • 1 or more year of demonstrated experience in bioinformatics, information integration, or knowledge modeling.
  • 1 or more year of experience working with and processing nextgeneration sequencing (NGS) datasets and databases.
  • 1 or more year of experience using general bioinformatics resources such as NCBI Entrez Gene, PubMed, OMIM, or ClinVar.

Preferred Qualifications

  • PhD with 2 or more years experience.

Additional Job Standards

  • Familiarity with clinical data standards such as HL7 and FHIR.
  • Understanding of cancer biology and oncology therapies.
  • Experience curating biomedical data and integrating terminologies for ontology development.
  • Experience working with relational databases and platforms such as Databricks or SAP HANA.
  • Proficiency in Python or Tcl scripting and SQL query development.
  • Familiarity with tools such as Jira, Confluence, and version control systems (Git).
  • Experience integrating public and proprietary biomedical information sources at scale.
  • Exposure to scientific natural language processing or textmining technologies.
  • Strong attention to detail with excellent organizational, analytical, and communication skills.
  • Ability to collaborate effectively across multidisciplinary project teams with a strong sense of ownership.
  • Ability to demonstrate relevant research expertise through publications, presentations, software tools, or applied knowledge.

About the Role

The Senior Curation Scientist supports Labcorp's innovative oncology data initiatives by transforming complex oncology testing data into highquality, usable enterprise data assets. This role combines biomedical expertise with data curation, ontology development, and knowledge management to enable advanced analytics and datadriven clinical insights. The position works within a collaborative, crossfunctional environment alongside software engineers, clinicians, and data consumers to support Labcorp's enterprise oncology data strategy.

Application Window: 8/15/2026

Pay Range: $125-145k

All job offers will bebased on a candidate's skills and prior relevant experience, applicabledegrees/certifications,as well as internal equity and market data.The position is also eligible for an annual bonus under the Labcorp Bonus Plan.Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers.

Benefits:Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.Employees who are regularly scheduled toworka 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, pleaseclick here.


Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.


We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data, please see ourPrivacy Statement.



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