National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI, Machine Learning and Cheminformatics Scientist (FTC - 12 months)

AstraZeneca
Cambridge
1 week ago
Create job alert

Job Title: AI, Machine Learning and Cheminformatics role - (1 year Fixed Term contract )

Location: Cambridge, UK

Salary: Competitive + Excellent Employee Benefits!

Applications Deadline: July 14

Do you have expertise in, and passion for machine learning and cheminformatics? Would you like to apply your expertise to impact the design of drug candidatesin a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!


ABOUT ASTRAZENECA

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies.

Here you’ll have the chance to create a meaningful difference to patients’ lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most complex diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and crafting the patient ecosystem. With our ground-breaking pipeline, the outlook is bright. Be proud to be part of a place that has achieved so much, yet is still moving forward. There’s no better time to join our global, growing enterprise as we lead the way for healthcare and society.


SITE DESCRIPTION 

Welcome toCambridge, home to many of our AstraZeneca sites. The site for this position is The Discovery Centre on the Cambridge Bioscience Campus, close to Central Cambridge and is located within walking distance from the Train station. You will have access to an onsite gym, restaurant facilities you will benefit from Lunch & Learn development activities, all within a bright and spacious environment while utilising the most advanced technology.


BUSINESS AREA

Be part of fulfilling our ambition to be world leaders in Oncology. We are already the fastest growing team within AstraZeneca and across the industry, and there are countless new indications and targets in our game-changing pipeline. We deliver this value through launch excellence, commercial efficiency and improving the lifecycle. By leveraging our commercialised portfolio we are confident we can change the practice of medicine and redefine cancer treatment.

What You’ll Do

Artificial Intelligence and Machine Learning have the potential for profound impact in drug discovery. We are looking for an enthusiastic scientist to join our computational chemistry team,to apply these technologies to chemistry design challenges within the Oncology therapeutic area. 

As a key part of this initiative you will work with cutting-edge AI approaches for molecular de novo design, build machine learning models and use these models - together with the project teams - toimpact drug design quality and timelines. You will work with the development team to further develop new approaches for molecular de novo design.

The role is a fixed 1-year term and is suitable for an early-career scientist with experience of cheminformatics and machine learning, looking to expand their expertise within a pharmaceutical drug discovery setting. Our team is based in Cambridge, UK, but we collaborate regularly with colleagues at our other ‘hub’ locations in Gothenburg, Sweden and Boston, USA.

You will:

Impact multiple discovery projects simultaneously by efficiently and pro-actively applying a wide variety of machine learning methods and building models for molecular de novo design 

Develop machine learning methods for the prediction of affinity,selectivity and ADME properties, including curating appropriate datasets.

Drive scientific progress in applying machine learning in drug discovery

Learn about, and be able to apply a range of computer-aided drug design tools and methodologies

Essential for the role

degree in computational chemistry or cheminformatics; or with equivalent experience

Expertise in applying machine learning( Deep Learning, SVM, Random Forest)

Broad knowledge of cheminformatics concepts

Experience with programming ( Python, C++, Java)

Excellent collaboration and networking skills

Innovative problem-solver 

Strong oral and written communication skills, team-working and time-management skills

Why AstraZeneca?

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

So, what’s next?

Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.

We encourage you to apply online before July 14.

Where can I find out more?

Our Social Media, Follow AstraZeneca on LinkedIn

Follow AstraZeneca on Facebook

Follow AstraZeneca on Instagram

Date Posted

23-Jun-2025

Closing Date

13-Jul-2025Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

Related Jobs

View all jobs

Machine Learning Cheminformatics Engineer, Drug Discovery (EMEA) (London)

Machine Learning Cheminformatics Engineer, Drug Discovery

Machine Learning Developer / Engineer

Machine Learning Engineer (W/M/D)

Researcher/Senior Researcher in Computer Vision and Machine Learning

Senior Lead Software Engineering - Python / AI / Machine Learning

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.