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Nlp Scientist Jobs in Indiana (NOW HIRING)

Pae

... science, or related field * Experience developing AI-enabled automation frameworks or platforms supporting mission workflows * Experience applying natural language processing (NLP), social media ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

Understand business problems and identify opportunities to implement data science solutions ... NLP/document AI * Strong analytical and problem-solving skills, with knowledge of forecasting and ...

Petersen Inc.

AI Engineer

Indianapolis, IN · On-site

$100 - $130/hr

Understand business problems and identify opportunities to implement data science solutions ... NLP/document AI * Strong analytical and problem-solving skills, with knowledge of forecasting and ...

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Nlp Scientist information

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$35.7K

$116.8K

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How much do nlp scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for nlp scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What does an NLP Scientist do?

An NLP Scientist develops algorithms and models to enable machines to understand, interpret, and generate human language. They work with large datasets, leveraging techniques in linguistics, machine learning, and deep learning to improve natural language processing tasks such as text classification, sentiment analysis, and machine translation. Their role often involves research, experimentation, and collaboration with engineers and product teams to deploy NLP solutions in real-world applications.

What are the key skills and qualifications needed to thrive as an NLP Scientist?

To thrive as an NLP Scientist, you need expertise in machine learning, deep learning, linguistics, and strong programming skills—often supported by an advanced degree in computer science or related fields. Familiarity with frameworks such as TensorFlow or PyTorch, and tools like spaCy or NLTK, as well as experience with cloud platforms and version control systems, is highly valuable. Strong problem-solving, collaboration, and clear communication skills help you to work effectively within interdisciplinary teams and present complex ideas. These abilities are essential for innovating NLP solutions that address real-world language challenges and driving impactful results.

What are some typical projects or tasks an NLP Scientist works on within a company?

As an NLP Scientist, you may work on a variety of tasks, such as developing and refining natural language understanding models for chatbots, information extraction, sentiment analysis, or machine translation systems. Your daily work often involves preprocessing large text datasets, designing and training new algorithms, conducting experiments, and evaluating model performance. You will likely collaborate closely with software engineers, data scientists, and product managers to integrate your models into products or pipelines. This role offers exposure to cutting-edge research as well as practical application, providing both technical challenges and opportunities to see your innovations make a tangible impact.

How much do NLP research scientists make?

NLP research scientists typically earn a median salary ranging from $90,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in deep learning and large language models can earn higher salaries, often exceeding $180,000.

Is NLP a good career?

NLP (Natural Language Processing) is a growing field within artificial intelligence, with demand for NLP scientists increasing as companies seek to develop language understanding and generation systems. It typically requires skills in machine learning, programming, and linguistics, and offers opportunities in tech, healthcare, finance, and research sectors. The career can be rewarding for those interested in cutting-edge AI applications and continuous learning.

What are popular job titles related to Nlp Scientist jobs in Indiana?

For Nlp Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Nlp Scientist jobs in Indiana look for?

The top searched job categories for Nlp Scientist jobs in Indiana are:

Nlp Scientist jobs near you
Infographic showing various Nlp Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted 13 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

313th of 621 rated colleges and universities

Job description

Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Position Title: Postdoctoral Research Associate - Bioinformatics, Pharmacogenomics, and AI/Machine Learning
Job Description: A Postdoctoral Research Associate position is immediately available for a highly motivated, independent, and ambitious candidate in the Department of Pharmacy Practice at Purdue University College of Pharmacy (Indianapolis campus). This position offers extensive collaborative research opportunities with the Regenstrief Institute and Indiana University. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical discovery and precision therapeutics.
This position is ideal for candidates seeking advanced training and leadership opportunities in bioinformatics, pharmacogenomics, artificial intelligence, machine learning, computational drug discovery, and precision medicine.
Research Area
The postdoctoral fellow will contribute to projects in one or more of the following areas:
• Bioinformatics and computational biology
• Multi-omics data integration and analysis
• Pharmacogenomics and computational drug discovery
• Pharmacogenomics and precision medicine
• AI and machine learning applications in biomedical research
• Deep learning and predictive modeling
• Natural language processing and large language models for biomedical data
• Drug response prediction and treatment optimization
• Biomedical knowledge graphs and network medicine
• Translational data science for therapeutic discovery
Primary Responsibilities:
The Postdoctoral Research Associate is expected to lead and contribute to independent and collaborative research projects, including but not limited to:
• Developing and applying bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods
• Analyzing and integrating large-scale biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data
• Building computational pipelines for drug discovery, drug response prediction, therapeutic target identification, and precision therapeutics
• Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic frameworks
• Leading manuscript preparation and contributing to grant proposals and scientific dissemination
• Collaborating with multidisciplinary stakeholders, including clinicians, biomedical scientists, informaticians, and data scientists
Education
Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science, computational biology, biostatistics, pharmacogenomics, biomedical engineering, health data science, or a related discipline
Experience
1. Demonstrated research experience in one or more of the following areas: bioinformatics; pharmacogenomics; artificial intelligence; machine learning or deep learning; pharmacogenomics; computational biology; drug discovery; network medicine; NLP/large language models; or precision medicine
2. Strong programming skills in Python, R, SQL, or related languages
3. Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies, knowledge graphs, or large-scale biomedical datasets is highly desirable
4. Strong written and oral communication skills, with evidence of scholarly productivity, including peer-reviewed publications or conference presentations
5. Ability to work effectively with diverse multidisciplinary teams, including clinicians, biomedical scientists, informaticians, and data scientists
Application Materials:
Interested applicants should submit the following:
1. Curriculum Vitae
2. Cover letter explaining research interests, relevant experience, and career goals
3. Contact information for 2-3 references
Internal candidates use this link https://careers.purdue.edu/job/Postdoctoral-Research-Associate/43347-en_US/?isInternalUser=true
External candidates use this link https://careers.purdue.edu/job/Post-Doc-Research-Associate/43347-en_US/

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