Summary written by USA Jobs 24 from AstraZeneca's advert and our data on 16,958 current US jobs. How we check every job
At a glance
AstraZeneca is hiring a Senior Computational Chemist - Oncology Targeted Discovery in United States. It is a full-time role in Healthcare & Life Sciences, asking for at least 1 year of experience, first listed on November 7. The description mentions PyTorch and Apache Spark. AstraZeneca has 77 other openings in the US. Across all employers on USA Jobs 24 there are 674 Healthcare & Pharma openings in the US today; the typical one asks for 5 years and advertises about $187,000 a year at the midpoint.
How the pay compares
AstraZeneca has not published pay for this job, or we could not find it in the advert. Of the 674 healthcare & pharma jobs across the US on USA Jobs 24, 75% show pay, and the typical yearly midpoint among them is $187,000. That gives you a fair starting point when the subject comes up.
Skills in this advert
How often each skill named in this advert appears across the 674 healthcare & pharma jobs we list today. Apache Spark is the most widely requested (1% of jobs), while PyTorch is the least common (0%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on AstraZeneca's Workday site on November 7 and checked it again November 7, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in United States. If you would need to move, ask whether relocation help is offered.
- Entry-level friendly. The advert is open to people early in their career. Our guide to entry-level jobs covers what to put on a first resume.
- Tailor your resume. Use the advert's own words, such as PyTorch and Apache Spark, wherever they are true for you. Our resume guide shows how.
- Apply only through AstraZeneca's own site. Our Apply button goes straight to AstraZeneca's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at AstraZeneca
AstraZeneca has 78 openings on USA Jobs 24 today across 11 states. Most are in healthcare & pharma (26), software & IT (9) and engineering & mfg (7). The biggest locations are Boston, MA (7), Denver, CO (2) and Las Vegas, NV (1). None of them is fully remote, 10% are open to entry-level candidates and 71% show pay. We collect AstraZeneca's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is AstraZeneca's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from AstraZenecaHide the advert668 words
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.
USA Jobs 24 copied this listing from AstraZeneca's official careers site on November 7, 2026 and checked it again November 7, 5:17 AM ET. AstraZeneca will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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