Data Architecture Lead, Life Science

TN United Kingdom; Slough; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Data Architecture Lead to join their dynamic Data Enablement team in Slough. This role involves shaping and implementing data architecture strategies that enhance research capabilities in the life sciences sector. You will collaborate with cross-functional teams to improve data management practices and governance, ensuring optimal data use for therapeutic discovery. If you are passionate about leveraging data to drive research advancements and thrive in a fast-paced environment, this opportunity is perfect for you.

Qualifications

• 5+ years in a research IT role with strong skills in life sciences.
• Expertise in data types for early and preclinical research.

Responsibilities

• Define strategy for data architecture across critical data types.
• Manage data ingestion from external sources to develop repositories.

Skills

Computational Biology

Data Management

Statistics

Programming (Python, R)

Data Governance

Communication Skills

Project Management

Education

BSc in Natural Sciences

PhD in Relevant Field

Tools

DNA Nexus

R / Rstudio

Python

Jupyter

Scikit-learn

Spotfire

Job description

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Data Architecture Lead, Life Science, Slough

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Client:

UCB

Location:

Slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

8e859f1446fb

Job Views:

14

Posted:

28.04.2025

Expiry Date:

12.06.2025

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Job Description:

Make your mark for patients

We are looking for a Data Architect Lead who is highly motivated data driven and passionate to join us in our Data Enablement team, based in our Slough office in the UK .

About the role

We are looking for a highly motivated hands-on leader to work with teams within research and beyond, to shape and implement data architecture vision across research data landscape with the goal of accelerating early and preclinical pharmaceutical research

Who you’ll work with

The Life Science Data Architecture Lead is part of the Data Enablement team that is responsible for maximizing value extracted from data in discovery and pre-clinical research through the definition and executing of the data strategy. The team aims to improve data readiness/reuse, implementing better data management and knowledge management practices, ensuring proper data governance and overall increasing data literacy and data maturity levels across research teams.

What you’ll do

• Define strategy and approach for data architecture across critical data types e.g. omics
• Conduct landscape assessment of external data management systems/ vendors and conduct proof of concept/ pilot projects
• Manage data ingestion from external data sources to develop and maintain data repositories.
• Support data science community in providing sufficient data foundations/ repositories to develop data products.
• Perform project management role to lead specific data initiatives.
• Establish computational strategies to accelerate research activities.
• Develop and implement data governance practices across the data landscape.
• Communicate regularly at data, digital and leadership forums.
• Liaise with business stakeholders to identify data challenges and opportunities for improvement to maximise data use/reuse.
• Liaise with Data Leaders in all functions (in particular with UCB Data Office and IT teams),and facilitate the initiation and execution of cross-functional data initiatives….

I nterested? For this role we’re looking for the following education, experience and skills

• BSc (+PhD as desirable) in natural sciences, computer science or engineering with strong skills & experience in computational biology/chemistry, statistics, informatics or mathematics, with demonstrated delivery in the life sciences space.
• 5+ years’ experience in a research IT/Informatics role
• Strong biological domain knowledge relevant to therapeutic discovery
• Expertise in the data types generated and utilised in early and preclinical research (across various modalities including NCE, NBE and GT)
• Experience in large data/ information curation, integration and management including commercial and open-source datasets.
• Expertise in ontology, reference data and metadata management across life science/ research data types
• Experienced managing or supporting R&D data management systems such as DNA Nexus.
• Programming skills in relevant language(s) and scientific computing environments and tools (R / Rstudio/ Linux / Python / Jupyter / Scikit-learn / Spotfire / etc.)
• Enjoy juggling competing priorities in a fast-moving research environment
• Excellent written and oral communication skills in English
• Enjoy working in multi-disciplinary teams

If you are interested to learn more about R&D within UCB, please find more information here.

RANDATUCB

Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!