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- Tasks: Organise and structure scientific data for R&D teams to enhance decision-making.
- Company: Join GSK, a leader in healthcare innovation with a commitment to diversity.
- Benefits: Competitive salary, annual bonus, healthcare, pension plan, and hybrid working model.
- Why this job: Make a real impact on scientific research by improving data accessibility and governance.
- Qualifications: Experience in data management and understanding of clinical data models required.
- Other info: Collaborate with industry leaders and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
This role focuses on organizing and structuring scientific data to make it easy for R&D teams to find, use, and understand, with data governance and transparent ownership integrated into the process. We are seeking someone with handsâon experience in curating and managing data, who also understands how data can be connected and standardized using ontologies and semantic principles. In the short term, the role will primarily focus on clinical trial design data, with an eventual expansion into other types of scientific data such as clinical trial patient data, realâworld data, molecular data, and more.
Your work will ensure that data is wellâstructured and fitâforâpurpose, empowering teams to focus on their science and decisionâmaking.
Responsibilities- Create and maintain scientific data information models
- Advise on implementation of data information models in a clinical trial context
- Develop and implement a vision and strategy to create and govern scientific data information models to enable storage & accessibility in alignment with the R&D Data Platforms
- Ensure alignment of governance and data management practice by partnering with enterpriseâwide information and data architects, ontology management, and data governance groups
- Partner strongly with the R&D Tech teams and deliver useâcases to address the deficiencies and opportunities that exist to further create and modernise clinical, RWD and bioinformatics data information models
- Represent the organization in industry forums and collaborate with external partners to advance data information modelling practices
- BS/MSc/PhD (or equivalent) in Information Science, Bioinformatics, Computer Science, or related subject
- Handsâon experience in curating and managing data (e.g. consolidating data from different formats into a centralized repository)
- Understanding of data information modelling and governance principles and practices
- Agile mindset, the ability to iterate improvements based on stakeholder feedback
- Deep expertise of clinical data and information models like USDM, HL7âFHIR, OMOP(CDM), CDISC (ODM: CDASH, SDTM, ADaM) and other industry standards
- Deep expertise in clinical data regulations, processes and interfaces
- Experience in driving change in a large global organization
- Experience in developing taxonomies and ontologies is an advantage
- Development of standards through participation in crossâindustry working groups
Competitive salary, annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. Hybrid working model offered.
Closing Date for Applications26th of October, 2025 (COB)
Equal Opportunity EmployerGSK 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.
For adjustments during the application process, contact us at UKRecruitment.Adjustments@gsk.com or call 0808 234 4391.
Data Information Model Developer in London employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Information Model Developer in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at GSK or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
â¨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data curation and management. This is your chance to demonstrate how you can make data work for R&D teams.
â¨Tip Number 3
Be ready for the interview! Brush up on your knowledge of clinical data models and governance principles. We want to see that you can talk the talk and walk the walk when it comes to data information modelling.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Information Model Developer in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Data Information Model Developer role. Highlight your hands-on experience with data curation and management, and donât forget to mention any relevant projects or achievements that showcase your skills in data governance and modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre passionate about data information modelling and how your background aligns with the responsibilities outlined in the job description. Be sure to show us your enthusiasm for working with R&D teams!
Showcase Relevant Skills: When filling out your application, make sure to highlight your expertise in clinical data standards like USDM, HL7-FHIR, and CDISC. We want to see how your skills can help us modernise our data information models and improve our processes.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Gsk
â¨Know Your Data Models
Make sure you brush up on your knowledge of data information models, especially those relevant to clinical trials like USDM and HL7-FHIR. Be ready to discuss how you've applied these in past projects, as this will show your hands-on experience and understanding of the role.
â¨Showcase Your Governance Skills
Prepare examples that highlight your experience with data governance principles. Think about times when youâve partnered with teams to ensure data quality and compliance. This will demonstrate your ability to align with the organisation's governance practices.
â¨Emphasise Collaboration
Since this role involves working closely with R&D Tech teams and external partners, be ready to talk about your collaborative experiences. Share specific instances where youâve successfully worked with cross-functional teams to drive change or improve data models.
â¨Stay Agile and Adaptable
Highlight your agile mindset by discussing how you've iterated on projects based on feedback. Employers love candidates who can adapt and improve processes, so come prepared with examples of how you've embraced change in your previous roles.
