Principal Data Scientist, Digital & AI
Vertex Pharmaceuticals
6 months ago
Remote friendly (Boston, MA)
United States
IT
Key Duties and Responsibilities:
- Collaborate with data scientists, engineers, strategists, and cross-functional partners to design, deploy, and evaluate generative AI/NLP/ML solutions to solve business problems.
- Design and execute impact measurement plans (e.g., A/B tests).
- Lead quantitative assessment and insight generation for the enterprise document ecosystem.
- Develop insights on enterprise adoption of generative AI tools (e.g., custom agents).
- Build and deliver data visualizations and outputs for technical and non-technical audiences.
- Stay current with data science methodology/software/data development.
Minimum Qualifications:
- BS/MS/PhD in a computational/quantitative field (e.g., data science, statistics, CS, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics).
- 5+ years data science (industry/academic); 2+ years integrating generative AI into document solutions (generation, summarization, QC).
- Proficiency in Python/R/SQL/JavaScript; version control; tools such as Snowflake/Databricks/Azure/Foundry/dbt.
- NLP/text-product experience (text mining, embeddings, transformer models).
- LLM prompt engineering; RAG and multi-agent architectures.
- ML/statistics experience (classification, regression, clustering, deep learning, time-series, networks, hypothesis testing).
- Exceptional communication and data visualization skills; strong data ethics.
Preferred Qualifications:
- 4+ years GenAI data science; familiarity with LLMOps (deployment/monitoring/maintenance); GenAI UX/UI testing; experience with clinical/real-world data or life sciences/healthcare.
Benefits/Pay (if applicable): $152,000–$228,000; annual bonus/equity; medical/dental/vision; paid time off; education assistance; commuting subsidy; 401(k).
Application Instructions:
- Contact Talent Acquisition at ApplicationAssistance@vrtx.com for application accommodation.
- Collaborate with data scientists, engineers, strategists, and cross-functional partners to design, deploy, and evaluate generative AI/NLP/ML solutions to solve business problems.
- Design and execute impact measurement plans (e.g., A/B tests).
- Lead quantitative assessment and insight generation for the enterprise document ecosystem.
- Develop insights on enterprise adoption of generative AI tools (e.g., custom agents).
- Build and deliver data visualizations and outputs for technical and non-technical audiences.
- Stay current with data science methodology/software/data development.
Minimum Qualifications:
- BS/MS/PhD in a computational/quantitative field (e.g., data science, statistics, CS, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics).
- 5+ years data science (industry/academic); 2+ years integrating generative AI into document solutions (generation, summarization, QC).
- Proficiency in Python/R/SQL/JavaScript; version control; tools such as Snowflake/Databricks/Azure/Foundry/dbt.
- NLP/text-product experience (text mining, embeddings, transformer models).
- LLM prompt engineering; RAG and multi-agent architectures.
- ML/statistics experience (classification, regression, clustering, deep learning, time-series, networks, hypothesis testing).
- Exceptional communication and data visualization skills; strong data ethics.
Preferred Qualifications:
- 4+ years GenAI data science; familiarity with LLMOps (deployment/monitoring/maintenance); GenAI UX/UI testing; experience with clinical/real-world data or life sciences/healthcare.
Benefits/Pay (if applicable): $152,000–$228,000; annual bonus/equity; medical/dental/vision; paid time off; education assistance; commuting subsidy; 401(k).
Application Instructions:
- Contact Talent Acquisition at ApplicationAssistance@vrtx.com for application accommodation.