The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.
Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:
* Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”.
* Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent.
* Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time.
We are looking for a skilled and experienced Knowledge Graph Platform Engineer I to join our growing team. The Knowledge Graph Platform Engineering team is responsible for the design, delivery, and maintenance of a world-class, scalable, and industrialized Knowledge Graph platform. They deliver a petabyte scale Knowledge Graph into production that is resilient, available, and most importantly scalable. They support and maintain the operations of the Knowledge Graph using a site reliability approach through monitoring, auditing, and alerting to intercept potential issues before they reach the analysis and end users. They deliver the infrastructure, IAC, and microservices used by application teams to create subgraphs that power artificial intelligence and analysis with the goal of accelerating drug discovery.
A Knowledge Graph Platform Engineer I should have awareness of the most common languages and tools of modern data engineering (e.g., Scala, Spark, etc.) as well as model best-in-class engineering practices (e.g., testing, code reviews, documentation, and DevOps-forward ways of working). They should be constantly seeking feedback and guidance to further develop their technical skills and expertise and should take feedback well from all sources in the name of development.
Key responsibilities:
A Knowledge Graph Platform Engineer I is a technical individual contributor, building modern applications and cloud-native systems for standardizing and templatizing data engineering:
* Standard components for cloud-based data pipelines including ingestion, transformation, and orchestration.
* Standard components for publishing data to file-based, relational, and other sorts of data storage.
* Standardized physical storage and search/indexing systems.
* Standard API architectures.
* Tooling for QA/evaluation.
* Provide L3 support to existing tools/services/pipelines.
Basic Qualifications:
* Bachelor’s degree in Computer Science, Software Engineering, or related discipline.
* 2+ years of relevant work experience.
* Experience with common data engineering tooling like Spark, Delta Lake, ETL tools, workflow tools.
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
* Experience using at least one common programming language and frameworks (e.g., Python, Scala, JavaScript, Java, React, Node), including toolchains for documentation and testing.
* Exposure to modern software development tools/ways of working and Infrastructure/Configuration as Code tools and technique (e.g., git/GitHub, Azure DevOps, Terraform, etc.).
* Exposure to Cloud computing (e.g., AWS, Google Cloud, Azure, Kubernetes).
#GSKOnyx, #LI-GSK and #GSKTech1
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
#J-18808-Ljbffr