JOB TITLE: CONSULTANT - INFORMATION ENGINEER

CAREER LEVEL: D1

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

• Develop applications and workflows to enable semantic enrichment
• Develop vocabularies, ontologies and knowledge graphs to help model and integrate structured and unstructured data from across our external and internal data sources
• Work closely with engineering and platform teams to deliver a robust data layer to support applications. Including consistency checking, maintenance analysis and debugging.
• Work closely with data scientists, machine learning, engineering and platform teams to derive key insights from the data sources
• Help develop NLP and data processing workflows to extract key information from unstructured and semi structured sources

ESSENTIAL SKILLS REQUIRED

• MS in Computer Science, Natural Language Processing, Semantic Web, Bioinformatics or similar field with 2+ years of experience developing data processing workflows, knowledge graphs, ontologies or NLP in industry
• Deep technical skills in 2 or more of the following areas: knowledge representation, reasoning, graphs, natural language processing, data integration, data engineering and ontology development
• Good experience with graph technologies, e.g., RDF(S), SPARQL, graph and triple-stores
• Experience with database technologies, RDBMS, NoSQL and Graph
• Good software development skills, with extensive knowledge of Python
• Working knowledge of cloud environment (AWS preferred), Hadoop/Spark
• Experience of working with unstructured data sources relevant to Drug Development. Specifically: Competitor Intelligence, clinical trials and scientific literature.

WHY JOIN US ?

We’re a network of entrepreneurial 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.