Principal Data Scientist, Digital & AI
Vertex Pharmaceuticals
3 months ago
Remote friendly (Boston, MA)
United States
IT
General Summary:
- Boston- or London-based data scientist applying generative AI, NLP, machine learning, and advanced analytics to complex healthcare business problems and digital solutions.
Key Duties and Responsibilities:
- Collaborate with data scientists, engineers, strategists, and cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions using generative AI, NLP, and ML.
- Design and execute impact measurement plans (e.g., A/B tests) to quantify solution value.
- 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 availability.
- Apply an entrepreneurial and ethical mindset, with openness and transparency.
Minimum Qualifications:
- BS/MS/PhD in computational/quantitative field (e.g., data science, statistics, CS, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics).
- 5+ years developing data science solutions; 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 products: text mining, word embeddings, transformer-based models.
- LLM prompt engineering; familiarity with retrieval-augmented generation and multi-agent architectures.
- ML/statistics methods (classification, regression, clustering, feature selection/engineering, deep learning, time-series, network analysis, hypothesis testing).
- Exceptional communication and data visualization skills; strong data ethics.
Preferred Qualifications:
- 4+ years industry GenAI data science experience.
- LLMOps (deployment, monitoring, maintenance).
- Advanced analytics/visualizations in business settings; UX/UI testing.
- Experience with EMR/claims, clinical or life sciences data; knowledge of biopharma/healthcare.
Work Arrangement:
- Hybrid: remote up to 2 days/week, or On-Site: 5 days/week on-site.
Pay Range:
- $152,000 - $228,000.
- Boston- or London-based data scientist applying generative AI, NLP, machine learning, and advanced analytics to complex healthcare business problems and digital solutions.
Key Duties and Responsibilities:
- Collaborate with data scientists, engineers, strategists, and cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions using generative AI, NLP, and ML.
- Design and execute impact measurement plans (e.g., A/B tests) to quantify solution value.
- 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 availability.
- Apply an entrepreneurial and ethical mindset, with openness and transparency.
Minimum Qualifications:
- BS/MS/PhD in computational/quantitative field (e.g., data science, statistics, CS, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics).
- 5+ years developing data science solutions; 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 products: text mining, word embeddings, transformer-based models.
- LLM prompt engineering; familiarity with retrieval-augmented generation and multi-agent architectures.
- ML/statistics methods (classification, regression, clustering, feature selection/engineering, deep learning, time-series, network analysis, hypothesis testing).
- Exceptional communication and data visualization skills; strong data ethics.
Preferred Qualifications:
- 4+ years industry GenAI data science experience.
- LLMOps (deployment, monitoring, maintenance).
- Advanced analytics/visualizations in business settings; UX/UI testing.
- Experience with EMR/claims, clinical or life sciences data; knowledge of biopharma/healthcare.
Work Arrangement:
- Hybrid: remote up to 2 days/week, or On-Site: 5 days/week on-site.
Pay Range:
- $152,000 - $228,000.