Senior Data Scientist II, Digital & AI
Vertex Pharmaceuticals
June 27, 2026
Remote friendly (Boston, MA)
United States
IT
Key Duties And Responsibilities:
- Collaborate with a team of data scientists, engineers, and strategists and cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions using generative AI, NLP, machine learning, and advanced analytics
- Design and execute impact measurement plans (e.g., A/B tests)
- Lead quantitative assessment and insight generation for an 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
- Participate in the broader data science community
- Apply an entrepreneurial and ethical mindset with openness, transparency, and collegiality
Minimum Qualifications:
- Bachelor’s, Master’s, or PhD in a computational/quantitative discipline (data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics, etc.)
- 3+ years developing data science solutions; 2+ years integrating generative AI into document solutions (e.g., generation, summarization, QC)
- Expertise in Python, R, SQL, JavaScript; version control; tools such as Snowflake, Databricks, Azure/Foundry, dbt
- Strong NLP/text-based product experience (text mining, word embeddings, transformer models)
- LLM prompt engineering; familiarity with RAG and multi-agent architectures
- Experience with statistical/analytical methods and ML (classification, regression, clustering, feature selection/engineering, deep learning, time-series, network analysis, hypothesis testing)
- Exceptional communication skills; strong data visualization
- Demonstrated adherence to data ethics
Preferred Qualifications:
- 3+ years industry GenAI data science experience
- Familiarity with LLMOps (deployment, monitoring, maintenance)
- Advanced analytics/visualizations in business settings; UX/UI design and testing
- Experience with clinical/real-world data (EMR, claims) and/or life sciences/biopharma/healthcare
Pay range: $132,000–$198,000
- Collaborate with a team of data scientists, engineers, and strategists and cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions using generative AI, NLP, machine learning, and advanced analytics
- Design and execute impact measurement plans (e.g., A/B tests)
- Lead quantitative assessment and insight generation for an 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
- Participate in the broader data science community
- Apply an entrepreneurial and ethical mindset with openness, transparency, and collegiality
Minimum Qualifications:
- Bachelor’s, Master’s, or PhD in a computational/quantitative discipline (data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics, etc.)
- 3+ years developing data science solutions; 2+ years integrating generative AI into document solutions (e.g., generation, summarization, QC)
- Expertise in Python, R, SQL, JavaScript; version control; tools such as Snowflake, Databricks, Azure/Foundry, dbt
- Strong NLP/text-based product experience (text mining, word embeddings, transformer models)
- LLM prompt engineering; familiarity with RAG and multi-agent architectures
- Experience with statistical/analytical methods and ML (classification, regression, clustering, feature selection/engineering, deep learning, time-series, network analysis, hypothesis testing)
- Exceptional communication skills; strong data visualization
- Demonstrated adherence to data ethics
Preferred Qualifications:
- 3+ years industry GenAI data science experience
- Familiarity with LLMOps (deployment, monitoring, maintenance)
- Advanced analytics/visualizations in business settings; UX/UI design and testing
- Experience with clinical/real-world data (EMR, claims) and/or life sciences/biopharma/healthcare
Pay range: $132,000–$198,000