Responsibilities
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
Design, develop, and maintain data information models and frameworks that support research and innovation.
Work closely with cross-functional teams to understand their data needs and translate them into clear, reusable data structures.
Document data definitions, relationships, and lineage to ensure clarity and usability for people as well as enabling context for AI agents to interpret the data correctly.
Implement processes to ensure data quality, consistency, and compliance.
Collaborate with engineering teams to integrate models into data platforms and pipelines.
Support continuous improvement by reviewing and refining data modelling practices.
Work with research scientists, data stewards and data platform teams to agree models and get them adopted.
Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
Degree in Computer Science, Data Science, Information Management, or a related field.
Proven experience in data modelling, designing information architectures, or similar roles in pharma setting.
Proven experience curating, harmonizing or integrating biomedical, pharmaceutical or healthcare data.
Proven experience using AI assistants or generative AI tools in daily work, with a critical eye on their output.
Strong skills in data analysis and the ability to translate complex requirements into clear models.
Familiarity with database technologies and data integration concepts.
Ability to write clear documentation and communicate with technical and non-technical colleagues.
Working knowledge of biomedical ontologies and standards such as NClt, MONDO, EFO, GO, ChEBI, CDISC
Preferred Qualification
If you have the following characteristics, it would be a plus
Understanding of data governance, privacy, and security best practices.
Familiarity with programming or scripting languages like SQL, Python, or others used in data workflows.
Experience preparing data for AI agents.
Contributions to standards or ontology communities (e.g. CDISC, FHIR, OBO Foundry, Pistoia Alliance).
Work Arrangement
This role is based in the United Kingdom and offers a hybrid working model, combining remote and on-site work at one of our offices.
Ready to join us? Your skills and passion could help shape the future of data at GSK. Apply today and be part of something that matters.
Skills
Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models
Polish Salary Range / Polski przedział wynagrodzenia: PLN 228,000 to PLN 380,000The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate’s skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate’s skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria.
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.
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.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
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