Senior AI-Driven Pharma Scientist & Product Engineer

Quinn; California (MO); On-site; USD 140,000 - 220,000; Full time

Job summary

Quinn is seeking a PhD-level life sciences professional to bridge AI and pharma R&D. You will deliver science directly to pharma teams, run Quinn end-to-end on live engagements, and present findings to senior leadership.

You will shape how AI is used in drug discovery by iterating prompts and improving deployment outcomes. Required: a PhD with computational fluency, 3+ years in pharma R&D across stages, and experience delivering to leadership.

Qualifications

• PhD in life sciences with computational fluency.
• 3+ years in pharma R&D with exposure to multiple stages.
• Delivered scientific findings directly to R&D leadership or external partners.
• Shipped tools, pipelines, or outputs used for decisions.
• Hands-on Git, Python, LLM workflows, and prompt/eval loops.
• Self-directed approach with initiative to define and execute needed work.

Responsibilities

• Work alongside Quinn to deliver for pharma partners and present findings to their R&D leadership.
• Run Quinn and own the quality of what ships
• Write and evaluate prompts daily and improve prompts based on feedback.
• Ship learnings back into Quinn to extend its capabilities.

Education

PhD in life sciences with computational fluency

Tools

Git

Python

LLM workflows

Job description

Quinn is seeking a PhD-level life sciences professional to bridge AI and pharma R&D. You will deliver science directly to pharma teams, run Quinn end-to-end on live engagements, and present findings to senior leadership.

You will shape how AI is used in drug discovery by iterating prompts and improving deployment outcomes. Required: a PhD with computational fluency, 3+ years in pharma R&D across stages, and experience delivering to leadership.