A global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases.
But we're more than one of the world's leading pharmaceutical companies. We're proud to have a unique workplace culture that inspires innovation and collaboration.
Here, employees are empowered to express diverse perspectives and are made to feel valued, energized and rewarded for their ideas and creativity.
Role : Information Engineer
Work Location : Chennai
Experience : 5-10 Yrs
Education : MS-Computer Science
Department - Data & Analytics, R&D IT
R&D IT is a global IT capability supporting Drug Research and Drug Development. We are organized around 7 key capability areas : Business Partnering, Solution Delivery, Architecture, Application Support, Data & Analytics, Change & Operations, operating out of sites across the US, UK, Sweden, India and Mexico.
Data & Analytics provides analytics and data insight services and solutions critical to the Data & AI / ML emerging strategy and mission of R&D and AZ.
D&A is organized into teams specializing in Information Architecture, Data Engineering and Data Science. You would be part of the Data Science team focusing on AI engineering (natural language processing, machine learning, deep learning and knowledge graph), Informatics, Information Science and Data Analysis).
We are looking for an Information Engineer to help us build intelligent applications that make use of our structured and unstructured data to derive key insights.
As part of the AI engineering group you will work together with ML engineers and data scientists on state of the art approaches to support R&D.
We are build a global Competitive Intelligence platform and aims to provide industry leading competitive intelligence across R&D and Commercial by maximizing the use of data and technology.
The CI platform aims to use leading edge technology to integrate key external and internal data sources through a combined build / buy platform to provide a competitive advantage for AstraZeneca.
You will be expected develop strategies and workflows to integrate and model information across our internal and external data sources working closely with both IT colleagues and R&D scientists.
You will do this by developing ontologies, knowledge graphs and data processing workflows that can help our scientists navigate and derive insights from the information.
You will also have the opportunity to work closely with our NLP experts to develop new algorithms that extract meaning from unstructured content using state of the art, deep learning based approaches.
In this role, besides making a meaningful impact to people's lives you will have the opportunity to engage with exciting drug development research and develop your understanding of how data science and artificial intelligence is applied to solve challenging technical and scientific problems.
The ideal candidate will possess a blend of technical coding skills, a good understanding of the use of ontologies to model information and semantically enrich data sources.
Some experience of the healthcare or life science domain will be beneficial.
Key Accountabilities :
Candidate Knowledge, Skills and Experience :
In addition, candidates will be expected to demonstrate :