JOB TITLE : SENIOR CONSULTANT

CAREER LEVEL: D2

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 THE ROLE

• Investigate innovative machine learning, artificial intelligence and statistic techniques for health data challenges.
• Collaborate with scientists and other machine learning engineers and data scientists to translate medical problems into machine learning problems.
• Design and implement machine learning pipelines.
• Design, implement and evaluate machine learning models solve problems faced by our drug development scientists, e.g., disease progression analysis in CT scans.
• Deploying machine learning solutions into production.
• Optimizing solutions for performance and scalability.
• Explain analyses and machine learning solutions to technical audiences.
• Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI.
• Support the strategic planning of the team by providing leadership as well as mentor and support the team of engineers across multiple projects.

ESSENTIAL SKILLS REQUIRED

• Degree in Computer Science, Applied Mathematics, Artificial Intelligence, Statistics or related subjects - or Masters in a relevant discipline and exceptional Machine Learning skills.
• 2+ years of experience and demonstrated deep technical skills in one or more of the following areas: machine learning, recommendation systems, pattern recognition, natural language processing or computer vision.
• 1+ year of experience with one or more DL frameworks such as Tensorflow or PyTorch.
• Experience with scientific and machine learning libraries e.g., SciPy, Scikit-learn, NumPy.
• Strong software development skills. Proficiency in Python preferred.
• Experience building large scale data processing pipelines.
• Ability to explain and present analyses and machine learning concepts to a broad audience.
• Ability to work with loosely defined objectives and turning these into concrete machine learning problems.
• Creative, collaborative, & product focused.

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.