Senior Computational Chemist - Oncology Targeted Discovery

Introduction to role: Are you ready to turn bold science into precision therapies that change patients’ lives? As a Senior Computational Chemist, you will harness structure-based design, ligand-based approaches, and modern AI/ML to guide high-impact discovery programs across new modalities. You will help shape how we design and select the next generation of targeted medicines, translating complex data into clear decisions.   Joining a collaborative, cross-functional team of scientists, you will influence strategy from the very first ideas through to candidate selection. You will work at pace with colleagues in medicinal chemistry, biology, biophysics, and beyond to shorten design cycles, raise confidence in our choices, and bring the best molecules forward. How will you apply your expertise to drive smarter experiments and deliver more for patients?   Accountabilities: • Hypothesis-Driven Design: Generate testable design hypotheses, integrating structural insights, SAR, and biophysical data to guide medicinal chemistry and accelerate decision-making. • Structure- and Ligand-Based Modelling: Apply docking, pharmacophore modeling, and data-driven design to prioritize compounds that improve potency, selectivity, and developability. • AI/ML Modelling: Build, validate, and deploy predictive models using contemporary toolkits to support high-throughput experiment design and increase hit-to-lead success. • New Modalities Modelling: Develop and refine computational methods for antibody–drug conjugates and bifunctional, proximity-inducing agents, expanding design capabilities beyond small molecules. • Cross-Functional Collaboration: Partner closely with medicinal chemistry, biology, biophysics, DMPK, and safety sciences to align models with mechanistic understanding and project goals. • Scientific Communication: Present clear, compelling results internally and externally, ensuring insights land with stakeholders and contribute to publications and scientific reputation. • Impact and Progression: Deliver immediate project acceleration while contributing reusable methods, workflows, and best practices that raise the standard of computational chemistry across programs.   Essential Skills/Experience: • A Ph.D. in computational chemistry or a related field. • Minimum 1 year of experience • Deep knowledge of one or more areas of computational chemistry, such as quantum mechanics, molecular dynamics, structure-based drug design, or ligand-based drug design. • Experience with AI/ML software toolkits for modelling chemical and biological data, such as RDKit, ChemProp, DeepChem, PyTorch, and scikit-learn. • Excellent problem-solving skills, with a proven track record of scientific publications and presentations.   When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. The annual base pay for this position ranges from 124,713.60 - 187,070.40 USD Annual [80% - 120% ]. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.   Why AstraZeneca: Here you will advance science that matters, supp