JOB TITLE : Lead Consult

CAREER LEVEL: E

Leverage technology to impact patients and ultimately save lives

Do you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, 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 disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.

ABOUT OUR IT TEAM

It’s a dynamic and results-oriented environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.

ABOUT OUR IT TEAM

It’s a dynamic and results-oriented environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.

Job Description Summary

In this role, the AI Engineer will develop, maintain and productionize AI & data science solutions & capabilities across AstraZeneca Enabling Units business areas. This is a technical lead role that requires working closely with data science team and business partners. You will be responsible for packaging solutions and code bases, building machine learning pipelines, maintaining existing AI/ML solutions and using up-to-date data science and cloud technologies to scale and systematize solutions and products built by the Enabling data science team. The successful candidate will have a proven high delivery standard and to be able to deliver autonomously with minimal supervision as well as working as part of large & on-going delivery teams. They will be able to work closely with others, be comfortable leading aspects of projects and able to manage risk and expectations in novel situations. They will have strong communication skills and be comfortable working as part of agile sprint and delivery groups.

Accountabilities

• Establish strong working relationships with the Data Science team and their customers to develop an in-depth understanding of business priorities and early insight into changing needs.
• Develop and deploy AI solutions into production using cloud technologies and data science platforms such as AWS Sagemaker and Dataiku.
• Understand, develop and optimize highly scalable tools leveraging machine learning, encoders and rule-based models.
• Adapt machine learning models to best exploit modern parallel environments.
• Translate unstructured, complex business problems into appropriate solutions.
• Develop a robust understanding of relevant AZ data sources and their provenance, quality and structure.
• Work with engineering and architecture to support large scale data preparation, platform delivery and the industrialization of proven analytics methods.
• Provide technical expertise in at least one/two AI specialism.
• Provide working knowledge & support to one or more specific AI specialism frameworks.
• Be creative, collaborative and product focused.
• Promote and present AI engineering work both within and outside the organization.
• Liaise with data scientists to understand their challenges and apply AI capabilities.
• Be an active member of the EUIT AI/ML Engineering team.
• Create, refactor and maintain packages in both Python and R programming languages.
• Experience building APIs using frameworks like Python/FLASK, loosely-coupled web applications on recognized frameworks and experience using docker containerization.
• Develop and apply ongoing knowledge and awareness in trends, best practice and new developments in analytics and data science.

Education, skills, and Experience

Essential

Desirable

• Bachelors Engineering Degree or equivalent number of years of experience in Computer Science or a related quantitative discipline
• Demonstrated technical skills in one or more of the following areas: machine learning, recommendation systems, pattern recognition, natural language processing or computer vision/Generative AI.
• Strong software development skills, including python and R
• Experience using a data science platform
• Demonstrated experience with data analytical approaches, and tools for understanding of data in support of scientific questions
• Strong written and verbal communication, business analysis, and consultancy skills
• Experience working on statistical models building

• Masters in computer science or related quantitative discipline.

• Comfortable working in high performance computing or cloud environment
• Proven record of building and deploying robust AI/ML products
• Proven track record of publishing relevant predictive modelling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.
• Prior experience working in a therapeutic drug research or development. Demonstrated contributions in target discovery, indication discovery, and patient-disease stratification initiatives are highly desirable.
• Experience in life sciences and healthcare

WHY JOIN US ?

We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.

We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.

SO, WHAT’S NEXT?

Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.

WHERE CAN I FIND OUT MORE?

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

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Date Posted

Closing Date

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.