Data Science Solutions Manager

Job title:

Data Science Solutions Manager

Company

UCB

Job description

Make your mark for patientsAbout the jobWe are looking for a Data Science Solutions Manager to join our CMC Development Digital Sciences team based at our UCB campus located in Braine-l’Alleud, Belgium.About The RoleAs Data Science Solutions Manager, you will have the opportunity to have a significant impact on the deployment of data science and process modeling capabilities across the technical development of UCB’s products (small molecules, biologics, and gene therapies). You will partner with world-class scientific teams and together redefine the way we develop the manufacturing process of new drugs, leveraging data and predictive sciences to shorten cycles while ensuring an optimal yield and product quality.Who You’ll Work WithIn this global role, you will contribute to the establishment of a strong partner network, both internally within UCB and externally through industrial and academic partnerships, ensuring that we remain at the forefront of technological advancements in your area of expertise while making the most of existing assets. You will collaborate with teams across Belgium, the UK, and Germany, to drive the predictive science agenda. Your role will involve engaging with end users to understand their needs and ensure that predictive science solutions are tailored accordingly and effectively integrated into their day-to-day activities.What You Will Do :

• Engaging with key stakeholders from the various CMC Development Sciences teams to better understand their current challenges and opportunities, and together identify how data science approaches and in-silico modelling can transform the way we work for the better
• Translating these opportunities into clearly identified projects (scope, objectives, approach, budget, and planning) that are aligned with our long-term strategy, build on our key assets where possible, and fit within our roadmap
• Leading the delivery of these projects in collaboration with key stakeholders, including the scientists who will benefits from the delivered solutions and need to contribute to their design, development (e.g., through data) and testing, but also IT, validation, QA, external partners (where relevant), and other colleagues from the CMC Development Digital Sciences team
• Making sure that the data science and predictive modeling projects you are leading deliver their promises (or are stopped fast enough) and that the resulting solutions are properly integrated in our ways of working so that we realize their full benefits (change management)
• Influencing our technology landscape where relevant (e.g., predictive modeling solutions) so that it supports our needs, while promoting rationalization/alignment where possible
• Working across boundaries, maintaining a proper level of alignment with partner departments like Patient Solutions, Manufacturing and Regulatory Affairs
• Developing and maintaining strong industrial and academic connections
• Staying abreast of new developments and trends in data science & predictive modeling, evaluating their relevance to the organization, and making recommendations for improvement

Interested? For this role, we are looking for the following education, experience, and skills:

• Master’s degree (ideally PhD) in a quantitative discipline such as engineering, data science / artificial intelligence, computer science, mathematics, or statistics with a clear affinity for (bio-)pharmaceutical sciences or, alternatively, a degree in (bio-)pharmaceutical sciences with a strong background in advanced data analytics and modeling
• 5-8 years of relevant professional experience, amongst which:

• 3+ years in the (bio-)pharmaceutical industry or related (experience in the field of process development, discovery or manufacturing science & technology is a significant plus)
• 3+ years of experience in the field of data science and/or computational modeling / simulation
• Ability to understand the processes, activities, and challenges of scientific colleagues, translate them into a quantitative business problem to be solved, and report the results in a meaningful and clear manner for all audiences
• Practical experience with relevant data science and predictive modeling techniques (incl. machine learning, statistics, design of experiments, Bayesian optimization, knowledge graphs), and willingness to continue developing these stills to further improve and stay up-to-days with latest innovations
• R / Python programming expertise
• Demonstrated skills in project management, teamwork and communication.
• English is mandatory, French is a plus.

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 usUCB 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 with 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.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/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on EMEA-Reasonable_Accommodation@ucb.com. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

Expected salary

Location

Eigenbrakel, Waals Brabant

Job date

Fri, 14 Mar 2025 08:46:38 GMT

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