Senior Quantitative Scientist - ML/NLP

Senior Quantitative Scientist – ML/NLP

Company	Verana Health
Location	Washington, USA, Pennsylvania, USA, California, USA, Washington, DC, USA, Texas, USA, Jackson Township, NJ, USA, Florida, USA, Waterbury, CT, USA, Nevada, USA, South Carolina, USA, Georgia, USA, Arizona, USA, Tennessee, USA, Virginia, USA, Minnesota, USA, Colorado, USA, Utah, USA, New York, NY, USA, Massachusetts, USA, North Carolina, USA, Ohio, USA, Louisiana, USA, Illinois, USA
Salary	$154000 – $200000
Type	Full-Time
Degrees	Master’s, PhD
Experience Level	Senior

Doctorate in a quantitative discipline (e.g., data science, computer science, machine learning, biostatistics, health economics, etc.) with 3+ years of experience or Master’s with 5+ years of experience
5+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies
3+ years of hands-on experience with machine learning model implementation & deployment, especially on clinical notes
3+ years of hands-on experience with state-of-the-art natural large language models (e.g., BERT, Longformer, RoBERTa, etc.) in resolving use cases like named entity recognition (NER), text classification, entity relation extraction, etc.
Strong familiarity with programming languages, especially Python, Pyspark, R, SQL
Strong familiarity with coding platforms, especially Databricks, Amazon Sagemaker, Visual Studio Code
Strong familiarity with unstructured text processing techniques
Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm
Ability to work effectively with cross-functional teams
Clear communication skills and able to deliver internal/external presentations
Ability to prioritize and manage multiple projects with high attention to detail

Develop and leverage state-of-the-art advances in natural language processing using pre-trained large language models (LLMs) for analyzing and reasoning over clinical notes and other unstructured data in the context of clinical problems
Drive cutting-edge research on language modeling with emphasis on scientific accuracy and explainability
Communicate analysis results via presentations to a multi-disciplinary audience using clear, intuitive visualizations
Establish and maintain best practices for data exploration, end-to-end model development and deployment lifecycle, and data/code/documentation management
Work on Qdata development to enable commercial projects leveraging real-world data through responsibilities such as creation of study plans, implementation of analyses, development of algorithms, and/or writing of publications
Collaborate cross-functionally with teams (e.g., Commercial, Product, Medical, Engineering/Technology, etc.) to translate clinical investigation questions into detailed data analytics requirements for internal and external projects
Provide mentorship and knowledge sharing to team members in standardizing machine learning/natural language processing best practices

No preferred qualifications provided.