Senior Scientist, AI Applications - R&D Oncology

About the role

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Responsibilities

• Work closely with the Machine Intelligence (MI) team within Data Science and Digital Health (DSDH) AI/ML to develop and deliver artificial intelligence (AI)/machine learning (ML) scientific applications.
• Develop and optimize multimodal reasoning systems that integrate large-scale structured and unstructured data to derive actionable conclusions.
• Build novel agent memory architectures to enable persistent knowledge retention and context-aware decision-making across extended discovery workflows.
• Prototype and evaluate innovative approaches for uncertainty quantification and reliability assessment in AI-driven scientific reasoning.
• Serve as a domain expert within the field by articulating to team members emerging approaches and methodologies within the AI/ML with a clear understanding of their practical applications within the industry.
• Define and enforce engineering best practices across AI prototyping, including architecture patterns, documentation standards, quality gates, and reproducibility criteria.
• Contribute to the over-arching AI strategy and enable the scaling and deployment of tools aimed at the broader R&D community.

Requirements

• A Ph.D. degree in AI/ML or related field (e.g., computer science, machine learning, data science, applied mathematics, statistics) with at least two (2) years working experience.
• Knowledge in sophisticated mathematics areas such as Bayesian inference, uncertainty quantification, information theory, causal inferencing, graph neural networks, etc.
• Proficiency with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.) and deep learning frameworks (e.g., PyTorch, Tensorflow, etc.).
• Proficiency in one or more programming languages – preferably Python.
• Positive and motivated demeanor with the ability to work both independently and in a diverse, multi-disciplinary team.

Qualifications

• Understanding of drug discovery pipeline and familiarity with biological data types, experience in oncology research.
• Strong understanding of statistics and applicable methods to validate model performance.
• Familiarity with cloud hosting solutions (ex. AWS and/or Azure).

Benefits

• Medical
• Dental
• Vision
• Life insurance
• Short- and long-term disability
• Business accident insurance
• Group legal insurance
• Pension
• 401(k)
• Vacation – up to 120 hours per calendar year
• Sick time - up to 40 hours per calendar year
• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year

Pay

The anticipated base pay range for this position is $109,000 to $174,800.

Schedule

This position will be located at one of our offices in either Spring House PA (preferred), Cambridge MA, or San Diego CA (La Jolla area). Consideration may be given for our Titusville and Raritan, NJ locations. (No remote option.)