Data Modeling Expert

F. Hoffmann-La Roche AG

Welwyn Hatfield

On-site

GBP 70,000 - 110,000

Full time

2 days ago
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Job summary

Roche is seeking a Data Modeling Expert for its Computational Sciences Center of Excellence in Welwyn. You will lead data modeling, semantics, and standards to ensure data are FAIR, high-quality, and usable by scientists, AI tools, and algorithms across REDs.

You will collaborate closely with the Data Connectivity team to drive data governance and AI-ready data strategies, contributing to information architecture and data quality tracking across global research efforts.

Qualifications

  • Master's degree or higher in a scientific or technical field.
  • Experienced in Data Governance, Data Standards, Data Modeling, Ontology Development, or related fields.
  • Proficient in one or more critical scientific or data domains and able to lead initiatives based on that knowledge.
  • Exceptional communicator with strong networking capabilities to lead in a matrixed organization.
  • Experience in a Research & Development organization with deep understanding of its processes and data handling activities.

Responsibilities

  • Act as a subject matter expert on data modeling, ontologies, semantics, and standards; interface with stakeholders and informatics/engineering colleagues.
  • Translate complex scientific requirements into draft data models for the wider team.
  • Contribute to and sometimes drive development of data models, standards, and information architecture.
  • Contribute to and drive strategies to ensure pan-RED Roche data is ready for AI/ML, and participate in AI data policy discussions.
  • Contribute to and lead data quality tracking strategies to measure annotation and data quality.
  • Foster a OneRoche data-centric mindset, advocating for data standards, governance, and FAIR principles.
  • Contribute to the development and improvement of Data Governance strategies as it relates to data standards.

Skills

Data governance
Data standards
Data modeling
Ontology development
Leadership
Communication
R&D processes

Education

Master's degree or higher in science/technical field

Job description

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.

#ComputationCoE

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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