About The Company
GlaxoSmithKline (GSK) is a science-led global healthcare company with a clear mission: to help people do more, feel better, and live longer. With a commitment to innovation and excellence, GSK strives to impact the health of 2.5 billion people over the next decade through groundbreaking research, development, and delivery of vaccines and medicines. Our R&D division is at the forefront of this mission, leveraging cutting-edge science and technology, including genetics and data analytics, to revolutionize medical research. We foster a collaborative environment that unites talented professionals across disciplines to pre-empt and defeat diseases, making a tangible difference in global health. Join us in our journey to unite science, technology, and talent to improve lives worldwide.
About The Role
We are seeking a highly skilled Backend Engineer to join our innovative team dedicated to advancing healthcare through artificial intelligence and machine learning. In this role, you will be instrumental in developing and maintaining scalable data pipelines that support our cutting-edge research initiatives. Your expertise will help translate complex biological and scientific data into reliable, high-quality data products that facilitate the discovery of novel therapies.
The ideal candidate will have a proven track record of delivering data solutions from conceptualization to production, utilizing modern cloud tools and best practices to ensure robustness, efficiency, and continuous improvement. This position offers an exciting opportunity to work at the intersection of data engineering and healthcare innovation, contributing to projects that aim to improve patient outcomes and accelerate scientific discovery.
Qualifications
- Minimum of 2+ years of experience in data engineering or related fields.
- Bachelor’s degree in computer science, data science, bioinformatics, life sciences, or a related discipline, or equivalent professional experience.
- Proficiency in Python and SQL for data pipeline development.
- Experience with cloud platforms, preferably Google Cloud Platform (GCP).
- Strong understanding of modern data engineering tools such as Spark, BigQuery, Cloud Storage.
- Experience with automated testing frameworks like pytest.
- Familiarity with agile development methodologies and practices.
- Hands-on experience with version control systems such as Git/GitHub.
- Knowledge of DevOps practices for deployment and continuous integration.
Responsibilities
- Design, build, and maintain scalable data pipelines using modern engineering tools on Google Cloud, ensuring alignment with scientific and research needs.
- Implement high-quality, reliable software solutions following best practices, including automated testing and comprehensive documentation.
- Monitor and measure key metrics for data tools and services, iterating to enhance performance and reliability.
- Participate in code reviews, providing constructive feedback and continuously improving personal and team standards.
- Collaborate with data scientists, bioinformaticians, and other technical teams to develop end-to-end data workflows and integrations.
- Ensure data security, compliance, and integrity throughout all stages of data processing.
- Stay updated with emerging technologies and incorporate innovative solutions to optimize data engineering processes.
Benefits
- Competitive salary package and performance-based incentives.
- Comprehensive health insurance coverage for employees and their dependents.
- Opportunities for professional development, training, and career progression.
- Inclusive and collaborative work environment that values diversity.
- Flexible working arrangements to support work-life balance.
- Access to cutting-edge tools and technologies for research and development.
- Participation in impactful projects that contribute to global health improvements.
Equal Opportunity
GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, veteran status, or any other protected class under applicable law.
