
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, meta> Key responsibilities for the Senior Data Platform Engineer include:
Given a well-specified data and scientific problem, implement end-to-end solutions using appropriate programming languages (e.g. Python, R, bash), open-source tools (e.g. Spark, Nextflow, k8s...), and cloud vendor-provided tools (e.g. gcloud cli, Azure)
Leverage tools provided by Tech (e.g. infrastructure as code, cloud Ops, DevOps, logging / alerting, ...) in delivery of solutions
Write proper documentation in code as well as in wikis/other documentation systems
Write fantastic code along with proper unit, functional, and integration tests for code and services to ensure quality
Stay up-to-date with developments in the open-source community around data engineering, data science, and similar tooling
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience with 8+ years of work experience
Proficiency with Python Programming language
Experience with public cloud providers like AWS, Azure and GCP
Experience with agile software development and DevOsps-forward ways of working
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
Advanced Degree
Experience building data pipelines with ETL/ELT tools and orchestration frameworks.
Knowledge of data modeling, partitioning, and performance tuning for analytical workloads.
Knowledge of data governance, access controls, and data quality practices.
Prior experience mentoring engineers and collaborating with cross-functional product teams.
#GSKOnyx, #LI-GSK
How to apply
We welcome applicants from diverse backgrounds and experiences. If this role sounds like a match, please apply and tell us how your skills and experience can help build a better data platform. We look forward to learning more about you.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
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