Data Operations Engineer, GSK
2-5 days a week in office (Cambridge, MA)
Building a cutting-edge digital and tech team.
Job no longer available
Building a cutting-edge digital and tech team.
1001+ employees
Job no longer available
2-5 days a week in office (Cambridge, MA)
1001+ employees
Company mission
At GSK, we use technology to deliver what matters most, better and faster. Whether it’s life-saving medicines or life-enhancing products, Tech at GSK helps scale and accelerate our expertise.
Role
Who you are
- Bachelor's degree or equivalent in Computer Science, Software Engineering or related discipline
- Job-related relevant Data Engineering experience building and testing software components that are robust, scalable and operable
- Experience using at least one common programming language (e.g., Python, Scala, Java), including toolchains for documentation and testing
- Exposure to Infrastructure/Configuration as Code tools and techniques (e.g Terraform, Ansible, CloudFormation, ARM Templates
- Exposure to modern software development tools / ways of working (e.g. git/GitHub, devops tools)
- Exposure to tools, techniques, etc relevant to their specialization area (e.g. AI/ML, DevOps, Data Platforms)
Desirable
- Master’s degree or equivalent in Computer Science, Software Engineering or related discipline
What the job involves
- We are looking for a skilled Data Operations Engineer I to join our growing team
- The DataOps team accelerates biomedical and scientific data product development and ensures consistent, professional-grade operations for the Data Science and Engineering organization by building templated projects (code repository plus DevOps pipelines) for various Data Science/Data Engineering architecture patterns in the challenging biomedical data space
- A Data Operations Engineer I knows the metrics desired for their tools and services and iterates to deliver and improve on those metrics in an agile fashion
- A Data Operations Engineer I is a technical contributor who can take a well-defined specification for a function, pipeline, service, or other sort of component, and a technical approach to building it, and deliver it at a high level
- They are aware of, and adhere to, best practice for software development in general (and their specialization in particular), including code quality, documentation, DevOps practices, and testing
- They ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows
- A Data Operations Engineer I should have awareness of the most common tools (languages, libraries, etc) within their specialization
- 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
- Be a technical individual contributor, building modern, cloud-native systems for standardizing and templatizing data engineering
- Develop and support delivery of high-performing, high-impact data ops products and services, from a loosely defined data engineering problem or requirement
- Builds modular code / libraries / services / etc using tools appropriate to their area of specialization
- Produces well-engineered software, including appropriate automated test suites and technical documentation
- Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
- Adhere to QMS framework and CI/CD best practices
- Stay up-to-date with developments in the open source community around DevOps, data engineering, data science, and similar tooling
- Provide L3 support to existing tools / services / pipelines
Application process
- Closing Date for Applications: Friday 5th January 2024 (COB)
- When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above
- The information that you have provided in your cover letter and CV will be used to assess your application
Our take
GSK Tech is set to build a suite of next-generation platforms for data- and prediction-driven drug discovery in support of GSK's Research and AI/ML organizations, and an industry-leading data engineering function in support of AI/ML and Genomic Sciences.
GSK’s ambitions go far past the data lake: they’re building a comprehensive data and machine learning ecosystem that can speak to the customers in their own scientific and technical language and semantics. Enabled by GSK Knowledge Graph, powered by machine learning, and underpinned by natural language processing, GSK's vision is for accessibility to data (and, importantly, the knowledge it represents). GSK wants to increase this tenfold, taking mere moments to find, access, and integrate the right information.
The creation of GSK Tech shows GSK's commitment to making a major investment in changing how we think about data in the research space, and levelling up the data experience for GSK's researchers, scientists, computational scientists, AI/ML Engineers, and ultimately decision-makers. As of 2024, GSK is putting more energy into its Cyber Security features, thus widening its market reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- An annual bonus based on company performance
- Access to healthcare and wellbeing programmes, pension plan membership, savings programmes, time off and childcare support
- Employee recognition programmes which reward exceptional achievements
- Long term incentives through share ownership link your rewards to our longer term performance
- Coaching, mentoring and formal training programmes
- Plenty of opportunities for open conversations with people who can help to shape your career
- A range of health and wellbeing programmes and support services to help employees understand how to feel healthier, happier and more energised at work and at home
Company HQ
Brentford, UK
Leadership
Luke Miels
(CEO)Luke became CEO on Jan 1, 2026, after serving as CEO designate since Sept 2025. He joined GSK in 2017 as Chief Commercial Officer, responsible for our commercial portfolio of medicines and vaccines.
Shobie Ramakrishnan
(Chief Digital and Technology Officer)Has a broad experience in biotech and hi-tech companies. Has led Digital and Technology for GSK’s Global Commercial organisation, transforming the company’s capabilities in digital, data & analytics.
Michael Elmore
(SVP & Global Chief Information Security Officer)Experienced in building and leading tech teams across cyber security, IT infrastructure, application development, and more. A trusted advisor to VCs and startups focusing on cybersecurity advancements.
Shubha Chaudhari
(SVP, Development Digital & Tech)Previously worked at Novartis in several roles, including Head of Clinical Informatics, Global Head of Development Informatics, and Head of Digital Transformation.
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