At a Glance
- Tasks: Support data-driven R&D initiatives and ensure high-quality data use.
- Company: Join a leading organisation focused on innovative research and data governance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge research and technology.
- Why this job: Make a real impact in the life sciences by ensuring data quality and compliance.
- Qualifications: Bachelor's degree in relevant fields and hands-on experience with data stewardship.
The predicted salary is between 45000 - 55000 £ per year.
We are seeking a Data Steward and a Business Data Owner to support a growing portfolio of data-driven R&D initiatives. This role will sit within the centralized Research Data Standards and Governance team and work closely with Data Modeling teams in the Technology (IT) organization to define data requirements and ensure alignment between governance standards and technical implementation.
The Data Steward is responsible for establishing and maintaining data standards, ontologies, and controlled vocabularies, ensuring semantic alignment across enterprise research datasets and enabling scalable, high-quality data use. The Business Data Owner is accountable for data lifecycle oversight, governance enforcement, and approval of harmonization outcomes, ensuring that research data remains fit-for-purpose, compliant, and scalable across evolving use cases.
Required Skills & Experience
- Bachelor's degree or higher in Biology, Bioinformatics, Computational Biology, Data Science (with strong life-sciences focus), or a related field.
- Hands-on experience with data stewardship and/or data governance concepts (e.g., stewardship operating model, data quality, metadata, ownership, and standards).
- Experience working with data standards, ontologies, vocabularies, or controlled terminologies in a research or life-sciences setting.
- Knowledge of cloud platforms, specifically Google Cloud.
- Understanding of multi-omics data types and workflows (e.g., genetics, transcriptomics/gene expression) and how sample/assay metadata ties to experimental outputs.
- Working knowledge of data modeling and structuring datasets for analysis and reuse.
Data Steward in Watford employer: Insight Global
Join a forward-thinking organisation that prioritises innovation and collaboration in the life sciences sector. As a Data Steward, you will thrive in a supportive work culture that values professional development and offers ample opportunities for growth within a dynamic team. Located in a vibrant area, our company provides a unique environment where your contributions to data governance will directly impact cutting-edge research initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Steward in Watford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend relevant meetups or webinars, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your data stewardship knowledge. Be ready to discuss your hands-on experience with data governance concepts and how you've tackled challenges in past roles. Show them you’re not just a fit on paper but in practice too!
✨Tip Number 3
Don’t forget to showcase your understanding of cloud platforms, especially Google Cloud. If you’ve worked with multi-omics data types, be sure to highlight that experience. It’s all about demonstrating your technical chops!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to reflect your passion for data stewardship and how you can contribute to our R&D initiatives.
We think you need these skills to ace Data Steward in Watford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Steward role. Highlight your experience with data stewardship, governance concepts, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data standards and governance in the life sciences. Share specific examples of how you've contributed to similar initiatives in the past. Let us know why you’re the perfect fit!
Showcase Relevant Experience:When detailing your experience, focus on your hands-on work with data standards, ontologies, and cloud platforms like Google Cloud. We love seeing practical examples that demonstrate your understanding of multi-omics data types and workflows.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Insight Global
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data stewardship and governance concepts. Be ready to discuss your hands-on experience with data standards, ontologies, and controlled vocabularies. This will show that you understand the core responsibilities of the Data Steward role.
✨Showcase Your Technical Skills
Familiarise yourself with cloud platforms, especially Google Cloud, as well as multi-omics data types and workflows. Prepare examples of how you've structured datasets for analysis and reuse in previous roles. This will demonstrate your technical prowess and relevance to the position.
✨Align with Research Goals
Understand the company's R&D initiatives and how they relate to data governance. Be prepared to discuss how you can contribute to ensuring that research data remains fit-for-purpose and compliant. This shows that you're not just focused on the technical side but also on the bigger picture.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview about the team dynamics, current projects, or challenges they face in data governance. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
