Lead Data Scientist


  Data Science


Company Overview:

Join a dynamic and innovative healthcare-focused organization at the forefront of leveraging advanced technologies in data science. As a Senior Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a pivotal role in building end-to-end data science projects that transform healthcare data into actionable insights, ultimately improving patient outcomes and healthcare delivery.


Key Responsibilities:

NLP and LLM Model Development:

  • Develop state-of-the-art NLP and LLM models to extract valuable information and patterns from electronic health records, medical records, and medical claims data.
  • Optimize and fine-tune models for accuracy, efficiency, and scalability, ensuring they can handle high volumes of healthcare data in production environments.

End-to-End Data Science Projects:

  • Lead the design, development, and deployment of end-to-end data science projects from data collection and preprocessing to model development, evaluation, and production deployment.
  • Collaborate with cross-functional teams to ensure seamless integration of NLP and LLM models into healthcare systems and processes.

Data Processing and Integration:

  • Engineer and preprocess healthcare data to ensure it is suitable for modeling, addressing challenges such as data cleaning, data augmentation, and feature engineering.
  • Integrate various data sources and types, including electronic health records, medical records, and medical claims data, to derive comprehensive insights.

Performance Monitoring and Optimization:

  • Establish monitoring systems to track model performance, detect anomalies, and measure the impact of models on healthcare outcomes.
  • Continuously optimize models and algorithms to improve performance, scalability, and efficiency in real-world production settings.

Collaboration and Knowledge Sharing:

  • Collaborate with multidisciplinary teams, including clinicians, data engineers, and product managers, to ensure the alignment of data science projects with organizational goals and objectives.
  • Share knowledge and insights with the team, keeping them informed about advancements in NLP, LLMs, and healthcare data analytics.


  • Education: Master’s or Ph.D. in a relevant field such as Data Science, Computer Science, Artificial Intelligence, or Healthcare Informatics.
  • Experience:
  • Minimum of 3 years of hands-on experience in data science, with a focus on NLP and LLMs in healthcare.
  • Proven track record of successfully building and deploying data science projects in healthcare settings, particularly using electronic health records and medical claims data.
  • Technical Skills:
  • Proficiency in Python and relevant data science libraries (e.g., NLTK, spaCy, transformers).
  • Strong understanding of NLP techniques, LLMs (e.g., BERT, GPT), and deep learning architectures.
  • Experience working with healthcare data, including electronic health records and medical claims data.
  • Healthcare Domain Knowledge:
  • Understanding of healthcare terminologies, healthcare systems, and healthcare data privacy and compliance standards (e.g., HIPAA).
  • Communication and Collaboration:
  • Excellent communication skills, with the ability to effectively convey complex ideas and findings to both technical and non-technical stakeholders.
  • Proven ability to collaborate in a team-oriented environment and work effectively across multiple departments.


Join us in revolutionizing healthcare data science with NLP and LLMs, and make a significant impact on patient care and outcomes!


Apply directly or send your resume to angelo@alldus.com!