Data Modeling Expert

Data Modeling Expert

Full-Time 36000 - 60000 £ / year (est.) No home office possible
F. Hoffmann-La Roche Gruppe

At a Glance

  • Tasks: Drive data modelling and standards to support innovative healthcare solutions.
  • Company: Join Roche, a global leader in healthcare innovation.
  • Benefits: Flexible working, competitive salary, and opportunities for personal growth.
  • Why this job: Make a real impact on healthcare by leveraging data and AI.
  • Qualifications: Master's degree in a scientific field and experience in data governance.
  • Other info: Be part of a diverse team dedicated to advancing science and healthcare.

The predicted salary is between 36000 - 60000 £ per year.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.

Join the newly formed Computational Sciences Center of Excellence (CoE) as a Data Modeling Expert, a key role within our Data Connectivity team. You will serve as a key contributor in the data modeling, semantics, ontologies, and standards space, ensuring our data are FAIR (Findable, Accessible, Interoperable, and Reusable), high-quality, and trustable; enabling scientists, computational tools, and AI algorithms from across our Research and Early Development (REDs) organizations to effectively leverage and utilize these data assets.

As our Data Modeling Expert, you will:

  • Act as a key subject matter expert on data modeling, ontologies, semantics, and standards efforts, interfacing closely with business/scientific stakeholders and informatics/engineering colleagues.
  • Translate complex scientific requirements from various parts of R&D into clear draft data models that can be leveraged by the wider FAIR data modeling team.
  • Independently contribute to and on occasion drive the development of data models and standards and/or information architecture solutions potentially leading function-level efforts related to FAIR data processes relating to data modeling, standards development and/or information architecture.
  • Independently contribute to and on occasion drive strategies that ensure pan-RED Roche data is ready for AI/ML (AI data readiness), potentially leading tactical efforts around AI/data policies in partnership with other colleagues in the broader team.
  • Independently contributes to and on occasion drive efforts that enable data quality tracking, potentially leading strategies that allow us to track and measure data quality (e.g. tracking how well annotated xRED data is).
  • Foster a OneRoche data-centric mindset within the team, advocating for data standards, governance, and FAIR principles.
  • Contribute to the development, implementation and improvement of Data Governance strategies as it relates to data standards.

Who You Are:

  • You hold a Master\’s degree or higher in a scientific or technical field.
  • Experienced in Data Governance, Data Standards, Data Modeling, Ontology Development, or related fields.
  • You are proficient in one or more critical relevant scientific or data domains, and are able to provide leadership to initiatives based on that knowledge.
  • You are an exceptional communicator with strong networking capabilities, able to build relationships and lead effectively in a matrixed organization.
  • You have experience working within a Research & Development organization and have a deep understanding of its processes and data handling activities.

This role is based onsite at our Welwyn office.

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Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

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Data Modeling Expert employer: F. Hoffmann-La Roche Gruppe

At Roche, we pride ourselves on fostering a culture of inclusivity and personal expression, where every employee is valued for their unique contributions. Our commitment to innovation in healthcare is matched by our dedication to employee growth, offering numerous opportunities for professional development within a collaborative environment. Located in a vibrant setting, Roche not only empowers its workforce to thrive but also ensures that together, we are making a meaningful impact on global health.
F. Hoffmann-La Roche Gruppe

Contact Detail:

F. Hoffmann-La Roche Gruppe Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Modeling Expert

✨Tip Number 1

Network like a pro! Reach out to current employees at Roche on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Data Connectivity team.

✨Tip Number 2

Prepare for your interview by brushing up on data modeling concepts and FAIR principles. Be ready to discuss how your skills can contribute to Roche's mission of advancing healthcare through innovative data solutions.

✨Tip Number 3

Show your passion for data and healthcare! During interviews, share examples of how you've used data to drive decisions or improve processes in previous roles. This will demonstrate your alignment with Roche's values.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Roche family.

We think you need these skills to ace Data Modeling Expert

Data Modeling
Ontologies
Semantics
Data Standards
Data Governance
AI/ML Readiness
Data Quality Tracking
Communication Skills
Networking Capabilities
Leadership in Matrixed Organisations
Scientific Knowledge
Technical Proficiency
Problem-Solving Skills
Stakeholder Engagement

Some tips for your application 🫡

Be Yourself: At StudySmarter, we value authenticity. When writing your application, let your unique qualities shine through. Don’t be afraid to express who you are and what makes you passionate about the role!

Tailor Your Application: Make sure to customise your application for the Data Modeling Expert position. Highlight your relevant experience in data governance and modeling, and connect it back to how it aligns with Roche's mission of advancing healthcare.

Showcase Your Skills: We want to see your expertise! Clearly outline your skills in data modeling, ontologies, and standards. Use specific examples from your past experiences to demonstrate how you've successfully applied these skills in a research or development setting.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at F. Hoffmann-La Roche Gruppe

✨Know Your Data Inside Out

As a Data Modeling Expert, you need to be well-versed in data governance, standards, and ontologies. Brush up on the latest trends and best practices in these areas, and be ready to discuss how you've applied them in past roles. This will show your expertise and passion for the field.

✨Communicate Clearly and Confidently

Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you'll need to translate scientific requirements into clear data models. Use examples from your experience to demonstrate your ability to bridge the gap between technical and non-technical stakeholders.

✨Showcase Your Collaborative Spirit

Roche values teamwork and collaboration. Be prepared to share examples of how you've worked effectively in a matrixed organisation. Highlight instances where you've fostered a data-centric mindset or advocated for data standards, as this aligns with Roche's culture of open dialogue and genuine connections.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills and ability to handle real-world challenges in data modelling. Think of scenarios where you've had to ensure data quality or readiness for AI/ML. Prepare structured responses using the STAR method (Situation, Task, Action, Result) to clearly convey your thought process and outcomes.

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