Position: Senior Quantitative Scientist (ML/NLP)
Company: The APP Solutions
Experience required: 5y
English level: fluent

Hi,
We are **The APP Solutions**, searching for **Senior Quantitative Scientist (ML/NLP)** to join our team!
Full-time/Remote.

We are looking for a **Senior Quantitative Scientist** with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records.

**Requirements**
- Master’s or doctorate in a quantitative discipline (e.g., data science, computer science, machine learning, biostatistics, health economics, etc.) or equivalent practical 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.
- 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.

**Tasks**
- 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 and 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. 

**What we Offer:**
- Flexible working hours
- Paid vacations (18 working days), National Holidays, sick leaves (10 working days)
- External and internal professional training and conferences
- Continuous learning opportunities and personal development plan
- Open-minded, collaboration-friendly, invention-driven team