Typical responsibilities include
Coordinate the implementation of novel modelling solutions designed to drive the interrogation of datasets for insights within defined project scopes. This includes integrating complex data from multiple different sources and modalities and applying specialized approaches from data science
Use domain-specific understanding to translate unstructured, complex business problems into tractable data problems for which analytical solutions can be created
Develop advanced predictive models and computational methods to guide and shape decision-making within project scopes
Operate as a subject-matter expert by providing training and advice to collaborators regarding the optimal use of key data, analysis platforms, and data science
Build and manage effective relationships with partners to ensure value realization of delivered resources and services. Clearly and objectively communicate results — as well as their associated uncertainties and limitations — to shape solutions
Maintain productionised data-science solutions and ways of working to meet requirements (regulatory and evidential) and high-quality standards within project scopes
Essentials for the role
Master’s Degree (or relevant work experience) in mathematics, statistics, , computer science, engineering or a related quantitative field
Ability to independently approach other domain fields, evaluate the data readiness, draw conclusions and recommend actions
Experience using Python for data manipulation of common data formats and visualization skills for fast idea validation
Experience using Python for machine-learning model training and validation
Experience with Deep Learning in computer vision, NLP or other fields Self-led and someone who takes initiatives
A good communicator and used to collaborate with partners who have a wide range of different competencies – including those with no programming experience
Experience with database systems (SQL preferred, though NoSQL may also be useful)
Fluent in English — both in speaking and writing Desirables for the role Experience with:
Cloud platforms (e.g., Snowflake, AWS, Azure)
Software development tools and principles (e.g., version control, shared repositories, CICD, scrum, agile)
Business intelligence tools (e.g., Qlik Sense, Power BI)
Chinese
Why AstraZeneca At AstraZeneca you’ll make the most of your skills and passion by actively supporting you in your long-term career aspirations. To do this, we’ve built an extraordinary international working environment with outstanding opportunities for collaboration and innovation. If you’re encouraged to make a difference and ready to discover what you can do, join us!
So, what’s next
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.
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.
