Senior Data Scientist (NLP/AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Data Scientist (NLP/AI): Designing and implementing advanced natural language understanding systems for clinical text analysis with an accent on transformer-based architectures and generative AI. Focus on building scalable, reliable, and auditable deep learning models to support data-driven medical decision-making within regulated healthcare environments.
Location: Remote (US). Must be a US citizen or permanent resident. Requires travel to a designated company location for on-site onboarding.
Salary: $124,000 - $170,500
Company
is a healthcare company dedicated to solving complex challenges through innovation at the intersection of health, material, and data science.
What you will do
- Scope and design NLP/NLU applications for clinical document understanding.
- Translate clinical requirements into measurable mathematical and experimental criteria.
- Process and enrich large-scale structured and unstructured medical datasets.
- Develop and evaluate deep learning models, including transformers and neural architectures.
- Mitigate model risks such as bias, drift, and hallucination.
- Deploy models into cloud environments, ensuring reliability and compliance.
Requirements
- US citizenship or permanent resident status required.
- Master's degree or PhD in computer science, mathematics, or related fields (or Bachelor's with 5+ years of IT experience).
- Solid experience in Python, specifically deep learning for text analysis (PyTorch, Transformers).
- Strong grasp of statistics and exploratory data analysis.
- Ability to work in a regulated healthcare environment.
- Must be legally authorized to work in the US without sponsorship.
Nice to have
- Experience with research-driven NLP/NLU and representation learning.
- Familiarity with AWS, GitHub, and CI/CD practices.
- Hands-on experience with LLMs, prompting, and agentic AI frameworks.
- Experience with ETL tools like PySpark or Spark NLP.
- Exposure to clinical coding systems (ICD, CPT, SNOMED).
Culture & Benefits
- Competitive compensation and benefits package including medical, dental, and vision.
- Retirement benefits and disability coverage.
- Commitment to integrity, empathy, and clinical intelligence.
- Collaborative environment working with diverse global teams.
- Structured onboarding process with company-paid travel for initial orientation.
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