Senior Scientist, Oncology Bioscience – AI‑Enabled Discovery

AstraZeneca • Waltham, MA

9d • $116,284 - $174,426

About The Position

This role sits at the intersection of oncology bioscience and applied agentic AI/Data Science. The Senior Scientist will embed AI agents/Data Science tools into discovery workflows to accelerate hypothesis generation, experimental design, data integration, and decision‑making, while sustaining strong biological rigor through hands‑on experimental execution and interpretation. This is not a data‑science‑only role; success requires biological understanding combined with practical AI deployment to drive meaningful oncology discovery outcomes.

Requirements

• BS with 3+ years, MS with 5+ years, or PhD with 1+ years of experience in Oncology, Biology, Data Science, or a related field.
• Experience developing or applying agentic AI systems to scientific or R&D problems.
• Experience using agentic AI platforms for hypothesis generation, data interpretation, or literature synthesis.
• 2+ years of hands‑on experience executing and/or overseeing in vitro tumor cell biology studies.
• Expertise in integrated omics data analysis and biological interpretation.
• Strong data reporting and communication skills aligned to discovery decision‑making.

Nice To Haves

• Basic coding skills in Python or R.
• Strong collaboration and problem‑solving skills in cross‑functional teams.
• Comfort operating in fast‑moving environments integrating biology, AI, and automation.

Responsibilities

• Apply agentic AI systems to develop AI agent to address complex oncology R&D questions and/or facilitate lab automation process.
• Use AI platforms (e.g., Claude code, Co‑Scientist) for integrated analysis of phenotypic, signaling, and multi‑omics data, hypothesis generation, and literature synthesis.
• Translate AI‑driven insights into actionable discovery decisions (target validation, LoS positioning, combination strategies).
• Clearly communicate AI insights, linking reasoning to biological evidence and program impact.
• Design, execute, and interpret in vitro oncology assays to test AI‑generated hypotheses.
• Perform cell‑based functional studies assessing candidate drug activity.
• Provide biological validation and critical interpretation of AI‑driven predictions.
• Partner cross‑functionally to ensure scientific rigor and relevance.

Benefits

• Short-term incentive bonus opportunity
• Equity-based long-term incentive program
• Qualified retirement program [401(k) plan]
• Paid vacation and holidays
• Paid leaves
• Health benefits including medical, prescription drug, dental, and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Senior