Open Position

Natural Language Processing (NLP) Engineer

About TREND Community

TREND Community is a community-powered data analytics company dedicated to turning the conversations within rare, chronic, and emerging disease communities into meaningful, data-driven insights. We collaborate with healthcare providers, researchers, pharmaceutical companies, and regulatory bodies to drive progress. Our vision is to increase the world’s understanding of diseases through social listening and other patient engagement services.

Position Summary

We seek an experienced NLP Engineer to join our team and advance our cutting-edge insights engine, Krystie™. In this role, you will be responsible for designing, building, and deploying NLP models that enhance our platform’s ability to extract clinical information from social media. Additionally, you will play a key role in integrating the latest advances in generative NLP into TREND’s offerings. We are looking for someone with a deep understanding of NLP and generative AI who thrives in a fast-paced, iterative environment and is driven to solve complex, impactful problems in healthcare analytics.

What You’ll Do

  • Design, develop, and deploy state-of-the-art NLP models using transformer-based architectures and other advanced techniques.
  • Collaborate with cross-functional teams to translate business requirements into technical NLP solutions.
  • Lead the construction of high-quality annotated datasets, managing and overseeing annotation projects for training and evaluating NLP models.
  • Implement robust NLP pipelines that extract and normalize information from unstructured text sources, linking entities to standardized medical knowledge bases.
  • Integrate and optimize generative AI technologies into our products, ensuring scalability and performance.
  • Implement and maintain data privacy and security best practices throughout the model development and deployment lifecycle.
  • Continuously research and incorporate the latest advancements in NLP and generative AI to keep our technology at the forefront of the field.

What You Have

  • Master’s degree in computer science, Computational Linguistics, or a related field.
  • 3+ years of hands-on experience in NLP model development and deployment.
  • 3+ years of experience with Python and its scientific computing ecosystem (NumPy, Pandas, etc.).
  • 2+ years of working experience with deep learning frameworks like TensorFlow or PyTorch.
  • Proven expertise in modern NLP tasks, including named entity recognition (NER), information extraction, and text classification.
  • Proficiency with generative AI technologies, such as transformer models (GPT, BERT, etc.).
  • Strong understanding of prompt engineering techniques for optimizing large language model (LLM) outputs, including RAG and structured generation.
  • Excellent problem-solving skills and ability to work independently and as part of a team.

Standout Qualities

  • PhD in a relevant field or equivalent industry experience.
  • Proficiency with cloud computing platforms, particularly AWS (Lambda, Bedrock), to support scalable NLP model deployment and inference.
  • Familiarity with UMLS (Unified Medical Language System) and its application to healthcare or biomedical NLP use cases.
  • Experience with knowledge graph construction and working with ontologies, particularly in the medical domain.
  • Hands-on experience with data lake platforms like Databricks for large-scale data processing and model training.
  • Competency in MLOps, including model monitoring and ensuring continuous integration and deployment of model versions.
  • Publications, particularly in healthcare-related applications.

What We Offer

  • Medical, vision, and dental benefits
  • Retirement plan
  • 15 PTO days and pre-approved PTO
  • One 3-day weekend every month
  • Innovative environment
  • Mac equipment
  • An opportunity to truly impact people’s lives through your work

How We Communicate

Below are the standard tools you will have exposure to and be comfortable working with at TREND Community:

  • Productivity software such as Microsoft Office, Google Workspace, and Slack
  • Video conferencing software such as Zoom, Teams, and Google Meet
  • CRM software such as Monday.com

Special Requirements

  • Successful candidates must pass a criminal background check.
  • A U.S. citizen, legal resident, or legally allowed to work in the U.S. now and in the future. (We are currently not sponsoring applicant work visas.)
  • This is a full-time, 40 hours per week, on-site position, with the possibility of a hybrid schedule (to be determined with your supervisor).
  • Candidates who submit a cover letter and resume and show a strong interest in the company’s mission will be given preference.
Apply Now