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
6 days 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)

Senior Research Engineer – Machine Learning – Microsoft Research

Data Scientist, AWS Industries

Researcher/Senior Researcher in Computer Vision and Machine Learning

Principal Product Manager – Data Science & Machine Learning

Data Scientist – PwC | Visa Sponsorship Available

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

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

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.