Global Data Science Lead

What you'll do

• Lead and mentor data scientists, AI/ML engineers, and analysts; translate strategy into team priorities and delivery plans.
• Oversee advanced analytics, machine learning, and generative AI/LLM solutions, including global model management, testing, observability, and deployment.
• Ensure scalable data and AI infrastructure and enforce data quality, security, governance, and responsible AI practices.

What they ask for

• Ph.D. in a quantitative discipline with 5+ years of relevant industry experience, or equivalent M.S. with 8+ years of relevant demonstrable research experience.
• Experience in the Life Sciences industry applying analytics and AI/ML to related datasets.
• Hands-on experience building or deploying LLM-based systems; advanced specialization in data science and AI techniques.
• Proven leadership of teams of 10+ people.

Nice to have

• Advanced experience with AWS, Snowflake, or Databricks.
• Data pipeline building, product development, LLM orchestration frameworks, vector databases, or designing AI-native products or workflows.

Pay

$120,000 - $250,000 USD base salary

Tools

AWS, Snowflake, Databricks, LLM, LangChain, LlamaIndex

AI focus

Leads applied data science and AI for Life Sciences datasets, including machine learning and generative AI/LLM systems, with responsibility for model deployment, testing, observability, and responsible AI.