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Senior Data Scientist - NLP & Generative AI (AI Engineering)
106 000 - 145 750$
Описание вакансии
Текст:
TL;DR
Senior Data Scientist - NLP & Generative AI (AI Engineering): Designing, implementing, and evaluating advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision-making with an accent on transformers, generative AI, and research-oriented neural architectures. Focus on optimizing training pipelines, exploring new modeling approaches, and contributing to the long-term direction of ’s deep learning portfolio.
Location: Remote (United States)
Salary: $106,000 - $145,750
Company
is a healthcare company creating breakthrough solutions at the intersection of health, material, and data science to improve lives.
What you will do
- Scope and design NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows.
- Translate business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable.
- Process, align, and enrich diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems.
- Develop and evaluate deep learning models, including transformer-based architectures and neural architectures for capturing linguistic patterns in clinical text.
- Deploy models into ’s cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems.
- Stay current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance ’s deep learning initiatives.
Requirements
- Master's degree or PhD in computer science, mathematics, or related fields or Bachelor’s degree with at least 5 years of IT experience
- Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers
- Solid grasp of statistics and exploratory data analysis
- US citizenship or permanent resident required
Nice to have
- Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures.
- Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices.
- Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks.
- Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks.
- Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus.
Culture & Benefits
- Programs to help you live your best life – both physically and financially.
- Opportunity to meet with your manager and other new employees as part of the new employee orientation.
- Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy for on-site onboarding.
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