Senior Machine Learning Scientist, Biologics Design - Biologics Engineering, Oncology R&D

AstraZeneca UK

Location: Cambridgeshire

Job Type: Full time

Posted


Do you have expertise in, and passion for Bioinformatics? Would you like to play a pivotal role that impacts the delivery of novel biologics drugs for oncology, respiratory and cardiovascular diseases in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be 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.


SITE DESCRIPTION

Granta Park Cambridge, UK, is one of over 400 sites here at AstraZeneca, providing an environment where everyone feels comfortable and able to be themselves is at the core of AstraZeneca’s priorities, it’s important to us that you bring your full self to work every day. To help you maintain your best self, here’s a sneak peek into some of the things this site provides for you… Granta Park has a newly built gym with swimming pool, nursery and central food hub accessible to staff as part of the science park facilities. We also have our own bistro and deli in the AstraZeneca buildings. There are regular ‘Lunch & Learn’ events and after work socials with snacks and drinks on the last Friday of every month. This is our biggest and most spacious lab site in Cambridge…come and join us!


BUSINESS AREA

In the Oncology Business Unit we relentlessly follow the science to deliver more effective treatments to patients in need. Our dedication means we purposefully push back the limits of knowledge to change the practice of medicine. To ensure no patient is left behind, no matter what stage of disease. Fast-paced, it takes agility and responsiveness to stay committed in our pursuit of excellence. We work with focus to seek the unanswered questions – innovating, challenging accepted norms, quick decision-making and taking risks. A place of trust, it’s an opportunity to take accountability, be brave, speak up, step up and redefine Oncology, now and in the future. This is the time to join the team who is confident that cures for cancer are within our grasp.

What you’ll do

The Biologics Engineering team is responsible for the discovery and optimisation of next generation biological drug candidates for all key therapy areas across AstraZeneca, and for developing in-house biologics discovery platforms and novel drug modalities to address unmet medical needs.

Central to this effort is the development of end-to-end data management and analysis capabilities to deliver novel biologics drugs. You will be part of an interdisciplinary Bioinformatics team, working at the cutting edge of research and development to create an active learning system for biologics engineering, in which model predictions guide lab experiments, lab automation generates high-throughput data for model training, and predictive models are updated as new data are generated. As part of this effort, you will collaborate closely with experts in data management, software engineering, lab automation, computational modelling and machine learning, with access to biologics R&D data across AstraZeneca and the potential to generate new data to inform predictive models.

This role provides the opportunity for a talented and motivated machine learning scientist to develop machine learning capabilities for biologics design that will significantly impact the delivery of the novel biologics drugs of the future.

  • Work collaboratively with data and drug discovery scientists to develop machine learning methods for the design of antibodies with improved biological activity.

  • Work collaboratively with machine learning experts in antibody design to incorporate state-of-the art machine learning methods within an end-to-end active learning system.

  • Grow your expertise in biologics engineering by learning from leading scientists in the field. Use your combined expertise in biologics engineering and machine learning to identify new opportunities to substantially improve biologics design.

  • Identify opportunities where domain knowledge in biologics engineering can be effectively incorporated into machine learning methods.

  • Engage in strategic external collaborations, with the opportunity to publish research in leading journals and conferences.

  • Support testing and verification of data analysis tools and pipelines in collaboration with AstraZeneca stakeholders.

  • Demonstrate effective communication to translate complex concepts to non-experts in internal and external scientific meetings.

Essential for the role

  • PhD or equivalent experience in a relevant computational field.

  • Experience working with deep learning methods and their application to molecular biology.

  • Experience with Python for analysis of experimental data.

  • Strong communication skills and excellent attention to detail, capable of developing good working relationships with diverse individuals.

  • Experience working within a team environment.

  • Acts with integrity and does the right thing.


Desirable for the role

  • Expertise in developing machine learning methods for antibody design.

  • Experience incorporating domain knowledge from biology into machine learning methods.

  • Awareness of data requirements for using machine learning to model biological data.

Why AstraZeneca?

At AstraZeneca, we are committed to being a 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.

Close date: 16/10/2022

Competitive salary and benefits


So, what’s next?

  • Are you already considering joining the team? Good, because we can’t wait to hear from you.

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

  • If you’re curious to know more please contact Louise Bennett.

Where can I find out more?

Our Social Media, Follow AstraZeneca on LinkedIn

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Date Posted

22-Sep-2022

Closing Date

14-Oct-2022

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

You’ve got this!