Senior Scientist, Oncology Bioscience – AIEnabled Discovery
Waltham, MA - USA
Job Summary
This role sits at the intersection ofoncology bioscience and applied agentic AI/Data Science. The Senior Scientist will embed AI agents/Data Science toolsinto discovery workflows to accelerate hypothesis generation experimental design data integration anddecisionmaking while sustaining strong biological rigor throughhandsonexperimental execution and interpretation. This is not adatascienceonlyrole; success requires biological understanding combined with practical AI deployment to drive meaningful oncology discovery outcomes.
Key Responsibilities
AIEnabledDiscovery
Applyagentic AI systemstodevelopAIagenttoaddress complex oncology R&D questionsand/orfacilitatelab automation process.
Use AI platforms (e.g.Claude codeCoScientist) for integrated analysis ofphenotypic signaling andmultiomicsdata hypothesis generation and literature synthesis.
TranslateAIdriveninsights intoactionable discovery decisions(target validationLoSpositioning combination strategies).
Clearly communicate AI insights linking reasoning to biological evidence and program impact.
Oncology Bioscience & Experimental Execution
Design execute and interpretin vitro oncology assaysto testAIgeneratedhypotheses.
Performcellbasedfunctional studies assessing candidate drug activity.
Provide biological validation and critical interpretation ofAIdrivenpredictions.
Partnercrossfunctionallyto 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 applyingagentic AI systemsto scientific or R&D problems.
Experience using agentic AI platforms for hypothesis generation data interpretation or literature synthesis.
2 years ofhandsonexperience executing and/or overseeingin vitro tumor cell biology studies.
Expertisein integrated omics data analysis and biological interpretation.
Strong data reporting and communication skills aligned to discoverydecisionmaking.
Preferred Qualifications
Basic coding skills inPython or R.
Strong collaboration andproblemsolvingskills incrossfunctionalteams.
Comfortoperatinginfastmovingenvironments integratingbiology AI and automation
The annual base salary for this position ranges from $116284.00 to $174426.00. However base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and 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-2026Closing Date
28-May-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and 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.
Required Experience:
Senior IC
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more