The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing ... Collaborates with data scientists, machine learning engineers, and clinical collaborators to design ...
The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing ... Collaborates with data scientists, machine learning engineers, and clinical collaborators to design ...
Postdoctoral Associate - Clinical Bioinformatics
Houston, TX · On-site
$62K/yr
The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing ... Collaborates with data scientists, machine learning engineers, and clinical collaborators to design ...
Postdoctoral Associate - Clinical Bioinformatics
Houston, TX · On-site
$62K/yr
The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing ... Collaborates with data scientists, machine learning engineers, and clinical collaborators to design ...
Perform data cleaning, preprocessing, and feature engineering tasks. * Contribute to projects ... NLP), or computer vision. * Utilize Python and tools such as Pandas, NumPy, scikit-learn ...
Perform data cleaning, preprocessing, and feature engineering tasks. * Contribute to projects ... NLP), or computer vision. * Utilize Python and tools such as Pandas, NumPy, scikit-learn ...
... and trainees across institutions to develop and apply computational methods for biomedical ... NLP/large language models; or precision medicine 2. Strong programming skills in Python, R, SQL, or ...
... and trainees across institutions to develop and apply computational methods for biomedical ... NLP/large language models; or precision medicine 2. Strong programming skills in Python, R, SQL, or ...
Data Architect Senior
Ann Arbor, MI · On-site
$65.75 - $88/hr
... NLP systems, and AI agents that operate over multimodal health-system data. * Collaborate with clinicians, scientists, trainees, and engineers, and contribute to manuscripts, datasets, open-source ...
Data Architect Senior
Ann Arbor, MI · On-site
$65.75 - $88/hr
... NLP systems, and AI agents that operate over multimodal health-system data. * Collaborate with clinicians, scientists, trainees, and engineers, and contribute to manuscripts, datasets, open-source ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
Sr. Staff Scientist, Clinical Informatics Center
Dallas, TX · On-site
$120 - $160/hr
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
Sr. Staff Scientist, Clinical Informatics Center
Dallas, TX · On-site
$120 - $160/hr
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
Sr. Staff Scientist, Clinical Informatics Center
Dallas, TX · On-site
$130 - $170/hr
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
Sr. Staff Scientist, Clinical Informatics Center
Dallas, TX · On-site
$130 - $170/hr
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
$130 - $170/hr
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
$130 - $170/hr
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
... NLP), Large Language Models (LLMs), generative AI, information extraction, standard ontologies and ... developers whose goal is to leverage the knowledge from research and experience in biomedical ...
Clinical NLP, language technologies, and communication tools embedded in care delivery * Real-world ... Process engineering includes upstream, downstream, analytical, and regulatory. Known as the ...
Clinical NLP, language technologies, and communication tools embedded in care delivery * Real-world ... Process engineering includes upstream, downstream, analytical, and regulatory. Known as the ...
Clinical NLP, language technologies, and communication tools embedded in care delivery * Real-world ... Process engineering includes upstream, downstream, analytical, and regulatory. Known as the ...
Clinical NLP, language technologies, and communication tools embedded in care delivery * Real-world ... Process engineering includes upstream, downstream, analytical, and regulatory. Known as the ...
... Engineering and R&D department. The Advanced Robotics team is focused on developing novel ... Intern (Fixed Term) (Trainee) Group: Magna Corporate
... Engineering and R&D department. The Advanced Robotics team is focused on developing novel ... Intern (Fixed Term) (Trainee) Group: Magna Corporate
Trainee Nlp Engineer information
What is a trainee NLP engineer?
Trainee NLP (Natural Language Processing) engineers are entry-level professionals who assist in designing, developing, and implementing systems that enable computers to understand and process human language. They typically work under the guidance of experienced engineers and data scientists, learning to apply techniques such as machine learning, text analysis, and language modeling. Their responsibilities often include data preprocessing, building and evaluating NLP models, and staying updated with advances in the field. This role is ideal for those interested in bridging computer science and linguistics, and it serves as a foundation for more advanced NLP engineering positions.
What types of projects can a trainee NLP engineer expect to work on during their first year?
As a Trainee NLP Engineer, you will likely start by supporting senior team members on projects such as text classification, sentiment analysis, or chatbot development. Your responsibilities may include data preprocessing, annotating training datasets, implementing basic machine learning models, and evaluating model performance. You'll also collaborate closely with data scientists, software engineers, and sometimes domain experts to refine algorithms and integrate NLP solutions into larger systems. This hands-on experience helps you build foundational skills and prepares you for more complex tasks as you progress.
What are the key skills and qualifications needed to thrive as a trainee NLP engineer, and why are they important?
To thrive as a Trainee NLP Engineer, you need a solid understanding of programming (especially Python), machine learning fundamentals, and linguistic concepts, often backed by a degree in computer science or a related field. Familiarity with NLP libraries like NLTK, spaCy, or Hugging Face Transformers, as well as experience with software development tools and cloud platforms, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help you work collaboratively and tackle complex language challenges. These competencies are vital for building, optimizing, and deploying NLP solutions that address real-world language processing tasks.
What is the difference between Trainee Nlp Engineer vs Junior Nlp Engineer?
| Aspect | Trainee Nlp Engineer | Junior Nlp Engineer |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in Computer Science or related field | Bachelor's degree in relevant field, some practical experience |
| Work Environment | Training programs, supervised projects, entry-level tasks | Independent task handling, project contributions |
| Employer & Industry Usage | Internships, training programs in tech companies, research labs | Tech companies, AI startups, research institutions |
The main difference between a Trainee Nlp Engineer and a Junior Nlp Engineer lies in experience and responsibility. Trainee roles focus on learning and training, often under supervision, while Junior roles involve applying skills more independently. Both positions are entry-level, but Junior Nlp Engineers typically have more practical experience and handle more complex tasks.
Are trainee NLP engineers in demand?
Trainee NLP engineers are in growing demand as industries increasingly adopt natural language processing technologies for applications like chatbots, virtual assistants, and data analysis. Entry-level roles often require knowledge of programming languages such as Python and familiarity with NLP tools like TensorFlow or spaCy, making these skills valuable for job seekers entering the field.
Does NLP pay well?
Salaries for Trainee NLP Engineers vary depending on location, company, and experience, but entry-level roles typically offer competitive pay within the tech industry. As skills in machine learning, programming, and data analysis develop, compensation tends to increase, especially with proficiency in tools like Python and frameworks such as TensorFlow or PyTorch.
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The most popular types of Nlp Engineer jobs are:
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Full-time
Re-posted 13 days ago
Baylor College of Medicine rating
8.0
Based on 24 frontline employees who took The Breakroom Quiz
190th of 627 rated colleges and universities
Job description
Summary
The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
- Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges.
- Reads and interprets patient-level data to support the development of AI/ML/NLP algorithms for clinical applications.
- Annotates medical notes and datasets to facilitate training and validation of predictive models.
- Collaborates with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms.
- Conducts exploratory data analysis to extract meaningful insights from complex datasets.
- Writes manuscripts and prepare presentations for local, national, and international conferences.
- Conducts literature reviews and maintains awareness of advancements in bioinformatics, AI, and clinical data analysis.
- Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development.
- Tests, debugs, and validates models in partnership with technical and clinical teams.
- Ensures adherence to ethical guidelines for the use of patient data in research and development.
- Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to advance clinical informatics research.
- Leverages clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy.
- Collaborates on the integration of clinical datasets into broader health informatics systems.
- Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases.
- Presents findings in department meetings and seminars and support grant writing and funding initiatives.
- Mentors trainees or junior team members in clinical informatics and research methods as needed.
- Performs other job-related duties as assigned.
Minimum Qualifications
- MD or Ph.D. in Basic Science, Health Science, or a related field.
- No experience required.
Preferred Qualifications
- MD passionate about clinical bioinformatics and driving innovation in healthcare.
- Able to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
- Background in basics statics.
- Background in basics AI.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
NN; PD; SN
What Baylor College of Medicine employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Baylor College
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Houston, TX, US
Year founded
1900