At a Glance
- Tasks: Design and develop data models to support groundbreaking biomedical research.
- Company: Join GSK, a global leader in biopharma with a mission to impact 2.5 billion lives.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and patient impact.
- Why this job: Make a real difference by transforming complex data into actionable insights for scientists.
- Qualifications: Degree in relevant field and experience in data modelling or similar roles.
The predicted salary is between 63000 - 77000 £ per year.
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives.
Join us as a Data Information Model Developer and help turn complex biomedical data into models that scientists and AI agents can use with confidence. You will design disease data information models for priority discovery areas, write the mapping rules that bring harmonized data together, and build the quality checks that keep them trustworthy. This is a hands-on role: you will work in code and modelling tools every day, use AI assistants to work faster, and partner with research, ontology and data platform teams as well as external partners. We value curiosity, attention to detail, and a positive mindset.
This role offers you the chance to grow your skills while making a meaningful impact aligned with GSK’s mission to unite science, technology, and talent to get ahead of disease together.
Responsibilities:
- 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.
Basic Qualifications:
- 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:
- 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).
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.
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.
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.
Data Information Model Developer in Vauxhall employer: GSK
GSK is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Stevenage. With a strong commitment to employee growth, you will have access to extensive development opportunities while working on groundbreaking medicine projects. The hybrid work model and future relocation to Cambridge provide a unique advantage, ensuring a vibrant environment for both personal and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Information Model Developer in Vauxhall
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We think you need these skills to ace Data Information Model Developer in Vauxhall
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at GSK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at GSK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at GSK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.