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Natural Language Processing Research Assistant Jobs

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. * Demonstrated success in using or (and preferably ...

Truveta

ML Postdoc Researcher - LLMs & Generative AI

... natural language processing communities Company : Truveta is a healthcare data platform that provides EHR data for scientific research. Founded in 2020, the company is headquartered in Bellevue, USA ...

PROPRIUS

AI Research Engineer

San Francisco, CA

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data ... to natural language processing. Experience with using modern frameworks such as Tensorflow.

Apple

AIML - Machine Learning Research

Seattle, WA

$139K - $258K/yr

We are an Applied ML team pushing the limits of question answering, assistant response ranking ... Minimum Qualifications * 1+ years of ML experiences in search, natural language processing ...

Apple

AIML - Machine Learning Research

Seattle, WA

$139K - $258K/yr

We are an Applied ML team pushing the limits of question answering, assistant response ranking ... natural language processing Deep understanding of cutting edge RL algorithms and large language ...

MongoDB

Senior Research Scientist

Palo Alto, CA · On-site

$115K - $147K/yr

They are seeking a Senior Research Scientist to contribute to the development of cutting-edge AI ... and natural language processing • Familiarity with training distributed training of neural ...

HOPPR

Research Intern

$20 - $30/hr

The Research Intern will assist in the curation of medical imaging and clinical report data and the ... and natural language processing of clinical reports * Document code, workflows, analysis ...

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a ... Translate NLP research ideas into maintainable, scalable software * Collaborate with an Agile team ...

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Natural Language Processing Research Assistant information

What are some typical challenges faced by a Natural Language Processing Research Assistant when working with large datasets?

As a Natural Language Processing (NLP) Research Assistant, you may encounter challenges such as cleaning and preprocessing vast amounts of unstructured text, dealing with noisy or imbalanced data, and ensuring data privacy. Handling computational limitations and optimizing models for efficiency are also common hurdles, especially when training deep learning models on large corpora. Collaborating closely with data engineers and senior researchers is essential to overcome these obstacles and to ensure that data pipelines and experimental results are robust and reproducible.

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

AspectNatural Language Processing Research AssistantData Scientist
Required CredentialsTypically a master's or PhD in computer science, linguistics, or related fieldsOften a bachelor's or master's in data science, statistics, or related areas; advanced degrees preferred
Work EnvironmentAcademic or research labs, tech companies focusing on NLP projectsBusiness, tech companies, or consulting firms analyzing large datasets
Employer & Industry UsageResearch institutions, universities, AI companiesTech firms, finance, healthcare, marketing

While both roles involve data analysis and programming, Natural Language Processing Research Assistants focus on developing NLP models and conducting research, often in academic settings. Data Scientists analyze diverse datasets to derive insights and support business decisions. The roles overlap in technical skills but differ in their primary objectives and work environments.

What are the key skills and qualifications needed to thrive as a Natural Language Processing Research Assistant, and why are they important?

To thrive as a Natural Language Processing (NLP) Research Assistant, you need a strong background in computer science, linguistics, and mathematics, often supported by a relevant degree or coursework. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and NLP libraries (like NLTK or spaCy) is essential. Analytical thinking, attention to detail, and effective communication are important soft skills in this role. These skills enable you to contribute to cutting-edge language models and research projects, ensuring accuracy and innovation in NLP solutions.

What does a Natural Language Processing Research Assistant do?

A Natural Language Processing (NLP) Research Assistant supports research projects focused on enabling computers to understand, interpret, and generate human language. Their tasks often include collecting and preprocessing linguistic data, running experiments with machine learning models, and assisting in the analysis and interpretation of results. They may also contribute to writing research papers, literature reviews, and implementing prototype solutions. This role typically requires knowledge of programming, linguistics, and machine learning concepts.
What cities are hiring for Natural Language Processing Research Assistant jobs? Cities with the most Natural Language Processing Research Assistant job openings:
What states have the most Natural Language Processing Research Assistant jobs? States with the most job openings for Natural Language Processing Research Assistant jobs include:
Infographic showing various Natural Language Processing Research Assistant job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Postdoctoral Research Associate I

Postdoctoral Research Associate I

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 24 days ago

University Of Arizona rating

7.0

Company rating: 7.0 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

368th of 534 rated colleges and universities

Job description

Postdoctoral Research Associate I
Posting Number
req26131
Department
Health Promotion Sciences
Department Website Link
https://publichealth.arizona.edu/departments/epidemiology-biostatistics
Location
Tucson Campus
Address
Tucson, AZ USA
Position Highlights
The Postdoctoral Research Associate will conduct independent and collaborative research at the intersection of intimate partner violence, reproductive and adolescent health across the United States, Latin America, and the Caribbean under the mentorship of Dr. Maeve Wallace in the Department of Health Promotion Sciences. The program of research is anchored in the US context and is being scaled into Latin American and Caribbean settings.
The position requires a scholar trained simultaneously in qualitative methods, advanced quantitative methods, and computational social science (including natural language processing and machine learning), with bilingual professional fluency in English and Spanish and a documented program of peer-reviewed scholarship in violence prevention and women's, adolescent, and reproductive health in U.S., Latin American, or Caribbean settings; expertise and experience in community-based participatory research are welcome.
Visa sponsorship is not available for this position.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Assist with secondary data collection, linkage, and management, and lead computational and epidemiologic analyses of data to achieve grant-funded aims, including natural language processing and machine-learning approaches.
  • Prepare first- and co-authored peer-reviewed manuscripts on intimate partner violence in pregnancy-associated homicide, suicide, and drug overdose deaths; intersectional analyses of violence and substance use; and other topics related to social and policy determinants of women's and adolescent health in U.S., Latin American, and Caribbean populations.
  • Lead journal submission, revisions, response-to-reviewer correspondence, and all other aspects of peer-reviewed publication.
  • Contribute to and lead federal and private foundation grant applications including but not limited to formulating research questions and specific aims, conducting preliminary analyses, drafting research strategy sections, and prepare data-management, restricted-access, and human-subjects documentation.
  • Develop and conduct international and binational collaborative research, including coordination of cross-jurisdictional IRB approvals, manage restricted-access data agreements, and support binational mixed-methods data collection and analysis.
  • Disseminate findings at national and international scientific meetings and to community, clinical, and policy stakeholders; provide methodological guidance and co-mentorship to graduate students working on linked projects in the Department of Health Promotion Sciences; and translate findings into briefs accessible to non-academic audiences in both English and Spanish.

Knowledge, Skills and Abilities:
  • Knowledge of U.S., Caribbean, and Latin American adolescent and reproductive health epidemiology.
  • Knowledge of intersectional analytic frameworks for identifying population subgroups where multiple violence- and health-risk dimensions converge.
  • Skill in community-based participatory research design and implementation, including community advisory board engagement and co-production of research products with community partners.
  • Skill in designing, training, validating, and interpreting supervised and dictionary-based natural language processing classifiers (TF-IDF with logistic regression, dictionary methods, transformer-based models) for unstructured public-health text.
  • Skill in mixed-methods design and integration, including triangulation of qualitative thematic analysis with quantitative survey results using joint display tables.
  • Skill in scientific writing and revision for peer-reviewed publication and in preparation of NIH-style research strategies, biosketches, and specific aims.
  • Ability to work independently, manage multiple concurrent analytic priorities under federal grant deadlines, and produce publication-ready deliverables with full methodological documentation.
  • Ability to develop and lead binational and multi-site research collaborations, including cross-jurisdictional IRB coordination, restricted-access data management, and community-based participatory research partnerships.
  • Ability to communicate technical findings clearly to interdisciplinary research teams and to Spanish-speaking community, clinical, and policy stakeholders in both English and Spanish.

Minimum Qualifications
  • Doctoral degree (PhD, ScD, or DrPH) in Health Behavior and Health Promotion, public health, epidemiology, demography, sociology, anthropology, or a closely related interdisciplinary social or behavioral science discipline, conferred prior to the position start date.
  • Documented graduate-level training in computational social science (e.g., graduate certificate, formal summer institute, or equivalent coursework), with demonstrated proficiency in supervised natural language processing or machine-learning classification of unstructured surveillance, clinical, or administrative text data.
  • Documented graduate-level training in qualitative research methods (ethnography, grounded theory, focus group facilitation, or in-depth interviewing), evidenced by peer-reviewed qualitative publication and proficiency with qualitative analysis software (e.g., Atlas.ti, NVivo).
  • Documented training in advanced quantitative methods, including survey-weighted regression, multilevel modeling, and other epidemiologic and econometric approaches applied to large datasets.
  • Documented record of peer-reviewed scholarship comprising including first-authored peer-reviewed publications or accepted manuscripts in public health, epidemiology, behavioral or social science, or allied disciplines.
  • Documented experience leading investigator-initiated mixed-methods study, feasibility study, or formative trial, including IRB protocol development across multiple jurisdictions and management of restricted-access data agreements.
  • Field-research experience with Latin American or Caribbean populations, including communities in Latin America, the Caribbean, or Latin American-origin communities in the United States, with full professional fluency in both English and Spanish.
  • Proficiency in R and Python for reproducible computational and statistical analysis, including familiarity with version control (Git/GitHub).

Preferred Qualifications
FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines, depends on experience.
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Scott Carvajal I carvajal@arizona.edu
Open Date
5/29/2026
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.
Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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