Make your mark for patients.
We’re here because we want to build the future and transform patients’ lives for the better.
At UCB, our people are our experiences and achievements, our passion and drive. That’s why we’re looking for talented individuals with diverse backgrounds and experiences - not just the best and brightest, but those who care about making a meaningful difference in the lives of patients.
We promote an environment of diversity, openness, and respect where people can make valuable contributions.
An exciting journey lies ahead. Will you join us in pushing the boundaries of what’s possible?
We are seeking a recognized scientific leader to join our Computer-Aided Drug Design (CADD) team as Sr Principal Scientist to advance the discovery of new therapeutic candidates using advances in machine learning & data science.
This position is based in Braine L’alleud, Belgium or Slough, UK and is expected to collaborate effectively across our research sites in the US, including in Belgium & the UK.
UCB, headquartered in Belgium, is a global biopharmaceutical company focused on the discovery and development of innovative medicines and solutions for people living with severe diseases of the immune system and the central nervous system.
With more than 7,500 people in approximately 40 countries, the company generated revenue of € 4.5 billion in 2017. UCB, recently recognized as the best employer at the Cogent Life Science Awards, invests more than 23% of its revenue in R&D.
At UCB everything we do starts with a simple question : How will this make a difference to the lives of people living with severe diseases?
The connection to patients offers new perspectives, drive innovation, and enable us to deliver solutions that are helping to transform their lives.
You like to work in an environment where :
You can independently design and execute computational experiments in a timely manner to enable the progression of therapeutic projects.
You can demonstrate strategic thinking for project delivery, identification and implementation of the next disruptive technology within UCB in order to stay at the forefront of drug discovery.
You will contribute by :
Proactively thinks of ways to accelerate the design and optimization of molecules to NCE (new chemical entities) projects.
Able to foresee challenges and propose solutions.
Create effective working relationships & interface across multiple internal disciplines IT, DMPK, Safety, Chemistry & Data Sciences and beyond via influencing and networking.
Champions effective optimization of drug discovery processes through application of data-driven predictive methods and AI-based generative design methodologies.
Effectively solicits input and feedback and drives innovation.
Contribute to CADD technology acquisition, development, implementation and applications to pipeline projects through effective project management and cross-functional collaboration.
Build a culture of data-driven decision making through the judicious application of recent advances in property predictions & generative molecular design methods.
Proven scientific leadership and excellent communication skills. Acts as an ambassador for CADD by providing scientific expertise / leadership at cross-disciplinary meetings and departmental meetings.
Understands UCB R&D strategy and contributes to its implementation. Acts as advisor and driver of change with senior management.
Interested? For this position you’ll need the following education, experience and skills :
15+ years of drug discovery experience, working across multiple therapeutic areas including neuroscience, immunology therapeutic including project leadership roles.
Excellent knowledge in applying principles of medicinal chemistry toward drug discovery.
Proven track record of accelerating drug discovery through application of machine learning and data analytics / science.
Demonstrated examples of NCE candidate delivery.
Expert knowledge in structure-based and ligand-based small molecule drug design.
A PhD in Chemistry, Computational Chemistry, Molecular Modeling or a related field is required with a good publication / patent track record.
Ability to influence and impact beyond immediate area of responsibility.
Ability to communicate effectively in English, both verbally and in writing.