GSK
Site Name:
South San Francisco 611 Gateway Blvd, Cambridge 300 Technology Square
Posted Date:
Dec 4 2025
The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are 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 an unified, automated, next‑generation data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity, and reducing data friction
Providing best‑in‑class AI/ML, GenAI and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent
Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real‑time
Data Engineering is responsible for the design, delivery, support, and maintenance of industrialized automated end-to-end data services and pipelines. They apply standardized data models and mapping to ensure data is accessible for end users in end-to-end user tools through use of APIs. They define and embed best practices and ensure compliance with Quality Management practices and alignment to automated data governance. They also acquire and process internal and external, structured and unstructured data in line with Product requirements.
As a Senior Data Engineer, you are a leading technical contributor who turns ambiguous scientific or technical challenges into well‑specified data solutions. You bring deep expertise in distributed systems, data processing, cloud platforms, and modern software engineering. You champion best practices, lead technical design, mentor engineers and drive high‑impact work across the data ecosystem. You ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows. You should be deeply familiar with the tools of modern data engineering (e.g. Spark, Kafka, Storm, …) and of our customers and engaged with the open‑source community surrounding them – potentially, even to the level of contributing pull requests.
You operate with a strong engineering mindset, prioritizing automation, reliability, metrics and well‑instrumented pipelines. You also support emerging capabilities such as GenAI powered data services, LLM‑enabled agents, vectorized feature pipelines and RAG workflows.
Key Responsibilities
Design, build, and operate data tools, services, workflows, etc. that deliver high value through the solution to key business problems by leveraging modern data engineering tools (e.g. Spark, Kafka, Storm, …) and orchestration tools (e.g. Google Workflow, AirFlow Composer)
Confidently optimize design and execution of complex solutions in data ingestion and data transformation
Enable data products optimized for AI/ML and GenAI workloads—high throughput, observable, feature‑ready and governed
Produce well‑engineered software, including appropriate automated test suites, technical documentation, and operational strategy
Implement modular, reusable components and microservices that accelerate development and reduce operational overhead
Provide input into the roadmaps of upstream teams (e.g. Data Platforms, DataOps, DevOps) to help improve the overall program of work
Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
Be fully versed in coding best practices and ways of working, and participate in code reviews and partnering to improve the team’s standards
Adhere to QMS framework and CI/CD best practices and help guide improvements that enhance ways of working
Provide technical leadership, code reviews, architectural guidance, and mentorship to junior engineers and serve as an escalation point for complex operational issues across pipeline and data services.
Basic Qualifications
PhD + 2 years, Masters + 4 years or a Bachelors degree with 6+ years of Data engineering experience in industry
Software engineering experience
Experience overcoming high volume, high compute challenges
Familiarity with orchestrating tooling
Cloud experience
Experience in automated testing and design
Experience with DevOps‑forward ways of working
Preferred Qualifications
Deep knowledge and use of at least one common programming language: e.g., Python, Scala, Java, including toolchains for documentation, testing, and operations/observability
Deep expertise in modern software development tools/ways of working (e.g. git/GitHub, devops tools, metrics/monitoring, …)
Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure‑as‑code
Application experience of CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, CircleCI, GitLab, Azure DevOps)
Demonstrated excellence with agile software development environments using tools like Jira and Confluence
Deep familiarity with the tools, techniques, etc. of modern data engineering (e.g. Spark, Kafka, Storm, …) and orchestration (e.g. Google Workflow, AirFlow Composer), including engagement with the open‑source community (and potentially making contributions to such tools)
Strong experience in data modelling, database concepts and SQL
Prior experience building GenAI‑related pipelines (embeddings, RAG, LLM data prep, scalable inference data flows)
Salary and Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,950 to $228,250. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Accommodation If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1‑877‑694‑7547 (US Toll Free) or +1 801 567 5155 (outside US).
Important Notice to Employment Businesses / Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
#J-18808-Ljbffr
South San Francisco 611 Gateway Blvd, Cambridge 300 Technology Square
Posted Date:
Dec 4 2025
The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are 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 an unified, automated, next‑generation data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity, and reducing data friction
Providing best‑in‑class AI/ML, GenAI and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent
Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real‑time
Data Engineering is responsible for the design, delivery, support, and maintenance of industrialized automated end-to-end data services and pipelines. They apply standardized data models and mapping to ensure data is accessible for end users in end-to-end user tools through use of APIs. They define and embed best practices and ensure compliance with Quality Management practices and alignment to automated data governance. They also acquire and process internal and external, structured and unstructured data in line with Product requirements.
As a Senior Data Engineer, you are a leading technical contributor who turns ambiguous scientific or technical challenges into well‑specified data solutions. You bring deep expertise in distributed systems, data processing, cloud platforms, and modern software engineering. You champion best practices, lead technical design, mentor engineers and drive high‑impact work across the data ecosystem. You ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows. You should be deeply familiar with the tools of modern data engineering (e.g. Spark, Kafka, Storm, …) and of our customers and engaged with the open‑source community surrounding them – potentially, even to the level of contributing pull requests.
You operate with a strong engineering mindset, prioritizing automation, reliability, metrics and well‑instrumented pipelines. You also support emerging capabilities such as GenAI powered data services, LLM‑enabled agents, vectorized feature pipelines and RAG workflows.
Key Responsibilities
Design, build, and operate data tools, services, workflows, etc. that deliver high value through the solution to key business problems by leveraging modern data engineering tools (e.g. Spark, Kafka, Storm, …) and orchestration tools (e.g. Google Workflow, AirFlow Composer)
Confidently optimize design and execution of complex solutions in data ingestion and data transformation
Enable data products optimized for AI/ML and GenAI workloads—high throughput, observable, feature‑ready and governed
Produce well‑engineered software, including appropriate automated test suites, technical documentation, and operational strategy
Implement modular, reusable components and microservices that accelerate development and reduce operational overhead
Provide input into the roadmaps of upstream teams (e.g. Data Platforms, DataOps, DevOps) to help improve the overall program of work
Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
Be fully versed in coding best practices and ways of working, and participate in code reviews and partnering to improve the team’s standards
Adhere to QMS framework and CI/CD best practices and help guide improvements that enhance ways of working
Provide technical leadership, code reviews, architectural guidance, and mentorship to junior engineers and serve as an escalation point for complex operational issues across pipeline and data services.
Basic Qualifications
PhD + 2 years, Masters + 4 years or a Bachelors degree with 6+ years of Data engineering experience in industry
Software engineering experience
Experience overcoming high volume, high compute challenges
Familiarity with orchestrating tooling
Cloud experience
Experience in automated testing and design
Experience with DevOps‑forward ways of working
Preferred Qualifications
Deep knowledge and use of at least one common programming language: e.g., Python, Scala, Java, including toolchains for documentation, testing, and operations/observability
Deep expertise in modern software development tools/ways of working (e.g. git/GitHub, devops tools, metrics/monitoring, …)
Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure‑as‑code
Application experience of CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, CircleCI, GitLab, Azure DevOps)
Demonstrated excellence with agile software development environments using tools like Jira and Confluence
Deep familiarity with the tools, techniques, etc. of modern data engineering (e.g. Spark, Kafka, Storm, …) and orchestration (e.g. Google Workflow, AirFlow Composer), including engagement with the open‑source community (and potentially making contributions to such tools)
Strong experience in data modelling, database concepts and SQL
Prior experience building GenAI‑related pipelines (embeddings, RAG, LLM data prep, scalable inference data flows)
Salary and Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,950 to $228,250. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Accommodation If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1‑877‑694‑7547 (US Toll Free) or +1 801 567 5155 (outside US).
Important Notice to Employment Businesses / Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
#J-18808-Ljbffr