NLP / LLM Data Scientist
Dandelion Health Inc · Remote · Remote ·
COMPENSATION
$135k – $165k
Listed on the employer's job board (Ashby)
- Fully remote (US)
- NLP & LLM focus
- Python + SQL
- Healthcare data
- Quarterly travel
Join Dandelion Health to develop machine learning solutions that extract insights from unstructured and structured patient data. You will work with a team of data scientists to create high-quality datasets for AI developers and pharmaceutical partners, focusing on patient safety and data integrity.
What you'll do
- Develop NLP and LLM pipelines to abstract labels from text-based healthcare data
- Query complex health data sources to identify key elements for AI training
- Own data extraction, wrangling, labeling, and quality control tasks
- Support design and validation of multimodal data structures
- Deliver HIPAA-compliant data products with clear documentation
- Communicate technical findings to audiences with varying clinical expertise
What you'll need
- Advanced degree in quantitative field or BS with 5+ years experience
- At least 2 years of data science and ML pipeline building experience
- Fluency in Python, SQL, and ML/NLP libraries like PyTorch or HuggingFace
- Familiarity with applied LLM techniques on real-world data
- Strong technical writing and communication skills
- Ability to manage multiple projects and meet deadlines
Nice to have
- Prior experience with clinical and healthcare data
- Experience working in or with startups
- Familiarity with encryption methods and Git version control
- Knowledge of electronic medical records like Epic or Cerner
- Experience with AWS and medical ontologies
- Background in publishing work in peer-reviewed journals
Stack
- Python
- SQL
- PyTorch
- Tensorflow
- HuggingFace
- AWS
- Git
How you'll work
- Fully remote position with flexible hours
- Occasional quarterly travel for in-person company days
- Availability required for meetings
What you get
- Complete wellness benefits including healthcare, dental, and vision
- Paid time off and sick days
- Professional development days for skill building
- Collegial work environment with academic bent