Job description
Make your mark for patients
We are looking for a Data Strategy Lead who is curious, agile and dynamic to join us in our Statistical Sciences and Innovation (SSI) team, based in any of our affiliates including the UK, Germany, Belgium and Raleigh (US).
About the role
You play a pivotal role in developing and implementing the data strategy, data curation/ontology and data cataloguing to support data use across the R&D organisation at UCB. You will be responsible for building frameworks in order to maximise the value from re-use of clinical trial data and support the data strategy at UCB for both operational and scientific questions to support internal stakeholders.
Who you’ll work with
This role reports to the Head of Statistical programming and works closely with key business groups such as the Data Office and IT teams.
What you’ll do
- Lead the implementation of the data enablement strategy and data curation within SSI, partnering with the Data Office to develop and execute the departmental strategy
- Create structure, tools and guidelines for the implementation of the Data Strategy with Data Curation and Ontologies, ensuring that the guidelines are adopted and enforced
- Develop, implement, and maintain data cataloging
- Work pro-actively with the Data Office team to identify opportunities to automate aspects of data curation using the ontologies and creating models to automatically assign ontology terms to data points
- Help to shape and implement the change management process for curating data
- Act as a subject matter expert for the Statistical Programming team into the support of data strategy to the UCB stakeholders
- Be point of contact internally and with other departments at UCB for align the Data Strategy with Company goals
- Maintain the Data Curation Strategy to ensure that the curation of data will be effective
- Provides proactive and effective collaboration for statistical programming initiatives.
- Proactively supports the development of Statistical Programming Vision at UCB.
- Works within a global team respectful of multiple cultures and countries.
- Effectively communicate, present ideas well online, read the virtual room, and connect with others virtually.
Interested? For this role we’re looking for the following education, experience and skills
- MSc or higher in Computer Science, Mathematics, Statistics or a similar analytical field
- Proven track record in managing, developing and deriving value from data curation and ontologies or taxonomies in a complex and fragmented data environment
- Experience within a pharmaceutical company, biotechnology or Clinical research organisation
- Experience with Collibra and FAIR data principles
- Excellent in written and spoken English
- Preferred experience in data governance frameworks and implementation within complex environments
If you want to learn more about R&D within UCB go to R&D at UCB.
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!
About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are around 8,500 people in all four corners of the globe, inspired by patients and driven by science.
Why work for us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected and has equitable opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
Learn more about sustainability at UCB and how it is integrated into our business approach.
UCB and its subsidiaries encourage diversity and inclusion in the workplace; we are an Equal Opportunity Employer. We do not discriminate on the basis of race/colour/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity.