AI Engineer, Biologics Engineering, Oncology R&D

In this role you form part of a Bioinformatics team working at the cutting edge of ML research and development in antibody engineering to build and maintain novel ML/data pipelines. We share a vision to unlock next generation decision-making by integrating ML approaches to better inform lab experiments and novel approaches to data interrogation. You will also work closely with data management, software engineering, computational modelling, and machine learning team members with access to industry-leading biologics R&D data across AstraZeneca.

ASTRAZENECA

Withoneof the broadest and deepestOncology pipelines in the industry, therearemanyopportunities to workwithnoveldrugs and helpdiscoverwhat'snext. We foster a mindsetofcourage, whereeveryone is empowered to step up, innovate and work at pace. Weleadthroughtruecollaboration, buildingcollectivewisdom by givingeveryone a chance to input. It's science with an impact-making a difference for patients and peoplearound the world.

SITE DESCRIPTION

BUSINESS AREA

Join the Biologics Engineering team at AstraZeneca, where we are responsible for the discovery and optimisation of next-generation biological drug candidates across all key therapy areas. We are developing in-house biologics discovery platforms and novel drug modalities to address unmet medical needs. BE empowered to act fast on smart risks and keep ahead in the fast-paced Oncology field.

What you'll do

• Ownership of some of the software engineering standards within the team, the documentation of these standards along with the development of artifacts that make it simple to apply to new or existing projects.

• Developing efficient and scalable processes for the distributed training of large machine learning models in both cloud and on-prem environments. This will involve working with both internal infrastructure teams and external vendors and research institutes.

• Evaluate the applicability of new technologies / application features and make recommendations for technology and business strategic roadmaps.

• Serve as a mentor for junior staff members by conducting technical training sessions and reviewing project outputs.

• Identifies new hardware/software technologies to fit specialised business needs and configurations.

• Identify issues with current processes and provide input on proposed changes to enhance effectiveness of the BE workflows, fostering continuous improvement and innovation.

Essential for the role

• Bachelor’s Degree or comparable experience with a minimum of 0+ years of experience in a Computer Science or Data Management related field

• Track record of implementing software engineering best practices for multiple use cases.

• Experience of automation of the entire machine learning model lifecycle.

• Experience with optimization of distributed training of machine learning models.

• Use of Kubernetes and implementation of machine learning tools in that context.

• Experience partnering and/or collaborating with teams that have different competences.

• The role holder will possess a blend of design skills needed for Agile data development projects.

• Proficiency or passion for learning, in data engineer techniques and testing methodologies and Postgraduate degree in data related field of study will also help. 

Desirable for the role

• Experience with DevOps or DataOps concepts, preferably hands-on experience implementing continuous integration or highly automated end-to-end environments.

• Interest in machine learning will also be advantageous.

• Experience implementing a microservices architecture.

• Demonstrate initiative, strong customer orientation, and cross-cultural working.

• Strong communication and interpersonal skills.

• Prior significant experience working in Pharmaceutical or Healthcare industry environment.

• Experience of applying policies, procedures, and guidelines.

Why AstraZeneca?

We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.  

Whenweputunexpected teams in the same room, weunleashboldthinkingwith the power to inspirelife-changingmedicines. In-person working gives us the platformweneed to connect, work at pace and challenge perceptions. That’swhywework, on average, a minimum ofthreedays per week from the office. Butthatdoesn'tmeanwe’re not flexible. Webalance the expectationofbeing in the officewhilerespectingindividualflexibility. Joinus in ourunique and ambitiousworld.

Competitive salary & benefits

Close date: 10/05/2024

So, what’s next!

• Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. Don't delay, apply today!

Where can I find out more?

Our Social Media, Follow AstraZeneca on LinkedIn: https://www.linkedin.com/company/1603/

Inclusion & Diversity: https://careers.astrazeneca.com/inclusion-diversity

Career Site: https://careers.astrazeneca.com/

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 authorisation and employment eligibility verification requirements.