GSK
Overview
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. 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, providing best‑in‑class AI/ML and data analysis environments, and aggressively engineering our data at scale as one unified asset. Responsibilities
Collaborating with Data Platform Teams, Data Engineers, and Architects to build, maintain and govern data architecture principles, standards, and guidelines Producing conceptual, logical, and physical data models to build fit‑for‑purpose data products Defining various data pipeline architecture patterns aligned with DataMesh/DataFabric architecture on target platforms Partnering with Data Engineers, Data Testers, Architects, AI/ML Specialists to drive the Data and Analytics strategy Building data architecture spanning different business areas and drawing links between problems to build common solutions Collaborating with different business areas and stakeholders to ensure consistent implementation of Data Architecture principles/standards across target platforms Designing data architecture aligned with enterprise‑wide standards and principles to promote interoperability Adopting a security‑first design that embeds robust authentication, hardened infrastructure and resilient connectivity across the data and data platform environments Providing leadership to team members to help others get the job done right Supporting engineering teams in the adoption and creation of data Mesh best practices Maintaining best practices for data architecture on our Confluence site Pro‑actively engaging in experimentation and innovation to drive relentless improvement Providing leadership, subject matter, and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors Qualifications
Bachelor’s degree in computer science, engineering, Data Science or similar discipline 7+ years of experience in data architecture, data engineering, or related fields in pharma, healthcare, or life sciences R&D 5+ years’ experience defining architecture standards, patterns on Big Data platforms 5+ years’ experience with data warehouse, data lake, and enterprise big data platforms 5+ years’ experience with enterprise cloud data architecture (preferably Azure or GCP) and delivering solutions at scale 5+ years of hands‑on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols) Preferred Qualifications
5+ years of pharmaceutical, healthcare or other relevant experience, advanced degree preferred Experience with the Azure or GCP data and analytics stack: Spark, Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, Dataflow, Dataproc, etc. Experience integrating and supporting a variety of enterprise data tools: Ataccama, Talend, Collibra, Snowflake, StreamSets, etc. Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc. Experience applying CI/CD principles and processes to data solutions Highly innovative mind‑set and experience with analytics in a healthcare or CPG company Experience using Spark and/or Databricks to solve data science and machine learning business problems Experience in applying Metadata, Data Security and Data Quality standards to build interoperable data products Experience building domain‑driven contextual data products to enable decision support across multiple products and assets to drive results Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations Ability to develop and maintain productive working relationships with suppliers and specialist technology providers Superior communication skills and the ability to communicate inherently complicated technical concepts to non‑technical stakeholders of all levels Benefits
The US annual base salary for new hires in this position ranges from $138,600 to $231,000. 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. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. 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). 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.
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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. 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, providing best‑in‑class AI/ML and data analysis environments, and aggressively engineering our data at scale as one unified asset. Responsibilities
Collaborating with Data Platform Teams, Data Engineers, and Architects to build, maintain and govern data architecture principles, standards, and guidelines Producing conceptual, logical, and physical data models to build fit‑for‑purpose data products Defining various data pipeline architecture patterns aligned with DataMesh/DataFabric architecture on target platforms Partnering with Data Engineers, Data Testers, Architects, AI/ML Specialists to drive the Data and Analytics strategy Building data architecture spanning different business areas and drawing links between problems to build common solutions Collaborating with different business areas and stakeholders to ensure consistent implementation of Data Architecture principles/standards across target platforms Designing data architecture aligned with enterprise‑wide standards and principles to promote interoperability Adopting a security‑first design that embeds robust authentication, hardened infrastructure and resilient connectivity across the data and data platform environments Providing leadership to team members to help others get the job done right Supporting engineering teams in the adoption and creation of data Mesh best practices Maintaining best practices for data architecture on our Confluence site Pro‑actively engaging in experimentation and innovation to drive relentless improvement Providing leadership, subject matter, and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors Qualifications
Bachelor’s degree in computer science, engineering, Data Science or similar discipline 7+ years of experience in data architecture, data engineering, or related fields in pharma, healthcare, or life sciences R&D 5+ years’ experience defining architecture standards, patterns on Big Data platforms 5+ years’ experience with data warehouse, data lake, and enterprise big data platforms 5+ years’ experience with enterprise cloud data architecture (preferably Azure or GCP) and delivering solutions at scale 5+ years of hands‑on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols) Preferred Qualifications
5+ years of pharmaceutical, healthcare or other relevant experience, advanced degree preferred Experience with the Azure or GCP data and analytics stack: Spark, Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, Dataflow, Dataproc, etc. Experience integrating and supporting a variety of enterprise data tools: Ataccama, Talend, Collibra, Snowflake, StreamSets, etc. Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc. Experience applying CI/CD principles and processes to data solutions Highly innovative mind‑set and experience with analytics in a healthcare or CPG company Experience using Spark and/or Databricks to solve data science and machine learning business problems Experience in applying Metadata, Data Security and Data Quality standards to build interoperable data products Experience building domain‑driven contextual data products to enable decision support across multiple products and assets to drive results Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations Ability to develop and maintain productive working relationships with suppliers and specialist technology providers Superior communication skills and the ability to communicate inherently complicated technical concepts to non‑technical stakeholders of all levels Benefits
The US annual base salary for new hires in this position ranges from $138,600 to $231,000. 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. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. 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). 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.
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