Principal Data Scientist (AI)

TL;DR

Principal Data Scientist (AI): Deploying custom data science solutions for business problems using generative AI, NLP, machine learning, and other advanced analytical methods with an accent on enterprise document ecosystem. Focus on developing advanced insights related to enterprise adoption of generative AI tools and building compelling data visualizations.

Location: Boston, MA or Paddington, United Kingdom. Hybrid or On-Site work is possible.

Company

Vertex is a global biotechnology company that invests in scientific innovation.

What you will do

• Collaborate with a team of data scientists, engineers, and strategists to conceptualize, deploy, and evaluate custom data science solutions for business problems.
• Lead quantitative assessment and insight generation for enterprise document ecosystem.
• Develop advanced insights related to enterprise adoption of generative AI tools such as custom agents.
• Build and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leaders.
• Participate in the broader data science community to stay current with methodology, software, and data development and availability.

Requirements

• Bachelor’s, Master’s, or PhD degree in a computational or quantitative discipline.
• 5+ years of experience developing data science solutions, with 2+ years of experience integrating generative AI methods into document solutions.
• Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. Snowflake, Databricks, Azure/Foundry, dbt).
• Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques.
• Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures.
• Exceptional communication skills and ability to present findings to non-technical audiences.

Nice to have

• 4+ years of industry GenAI data science experience.
• Familiarity with LLMOps, including deployment, monitoring, and maintenance of GenAI data solutions.
• Prior experience with using advanced analytics and/or developing advanced data visualizations in business settings.
• Prior exposure to clinical data, real-world data (EMR, claims), manufacturing or supply chain data, or life sciences-related research data.
• Knowledge of the biopharma or healthcare industry.

Culture & Benefits

• Inclusive market-leading benefits to meet employees wherever they are in their career, financial, family and wellbeing journey.
• Flexibility and resources to support growth and aspirations.
• Medical, dental and vision benefits.
• Generous paid time off (including a week-long company shutdown in the Summer and the Winter).
• Educational assistance programs including student loan repayment.
• Generous commuting subsidy, matching charitable donations, 401(k) and so much more.