Global Data Science Lead

What you'll do

• Lead and mentor data scientists, AI/ML engineers, and analysts, and translate strategy into team priorities and delivery plans.
• Oversee analytics and AI model design and implementation, global methodology, testing, deployment, and supporting infrastructure.
• Partner with consulting, product, and business stakeholders to deliver customer solutions while enforcing 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 with the Life Sciences industry and applying analytics and AI/ML to related data sets.
• Hands-on experience building or deploying LLM-based systems; advanced, in-depth 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 skills, product development experience, LLM orchestration frameworks or vector databases, or experience designing AI-native products or workflows.

Pay

USD 120,000 - 250,000 base salary

Tools

AWS, Snowflake, Databricks, LLM, RAG, LangChain, LlamaIndex

AI focus

Leads applied data science and AI strategy and delivery, including machine learning, generative AI/LLM systems, model governance and deployment, and AI-native customer solutions for Life Sciences.