Data Information Model Developer

GSK is hiring a Data Information Model Developer in London, United Kingdom. Level rates it ; you can apply on GSK.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Some of the work can be done remotely, according to the posting.
The posting mentions AI agents among its tools and skills.
GSK has 963 other open roles on Level.
Posted in the last few days.

AI in this role

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Business Introduction
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. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.
Find out more:
Our approach to R&D

Position Summary
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 them, 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 :
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

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/

How we rate this

Data Information Model Developer at GSK rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.