Senior Computational Chemist - Oncology Targeted Discovery
AstraZeneca is hiring a Senior Computational Chemist - Oncology Targeted Discovery. It pays $125k-$187k a year and Level rates it ; you can apply on AstraZeneca.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, scikit-learn and AI ML Toolkits.
- Level classifies it as a senior role.
- Level lists 1,300+ other open roles at AstraZeneca.
- The role was posted within the past week.
AI in this role
Build and deploy AI/ML predictive models and computational methods to drive targeted oncology drug 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, supported by significant investment, cutting-edge technology, and a rich pipeline spanning multiple indications. We bring diverse specialists together to spark ideas, publish in top journals, and partner with leading medical centers—translating discovery into therapies that reach patients faster. You will be empowered to ask bold questions, take smart risks, and see your work move from model to medicine, all within a culture that values kindness alongside ambition.
Call to Action:
If you are ready to turn computational insight into targeted therapies with real patient impact, step into this role and help shape the future of oncology discovery today!
Date Posted
06-Nov-2026Closing Date
06-Dec-2026Our 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.
How we rate this
Senior Computational Chemist - Oncology Targeted Discovery at AstraZeneca rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where computational chemistry was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where structure based drug design was part of your work. What did you do?
- Tell me about a project where molecular dynamics was part of your work. What did you do?
- Tell me about a project where drug discovery was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computational Chemistry, Machine learning, Structure Based Drug Design, Molecular Dynamics, and Drug Discovery. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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