Senior Scientist, Oncology Bioscience – AI‑Enabled Discovery

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.

Key Responsibilities

AI‑Enabled Discovery

• 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.
  
  

Oncology Bioscience & Experimental Execution

• 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.
  
  

Basic Qualifications

• 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.
  
  

Preferred Qualifications

• 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
  
  

The annual base salary for this position ranges from $116,284.00 to $174,426.00. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles) or to receive a retirement contribution (hourly roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Date Posted

18-May-2026

Closing Date

28-May-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.