Make your mark for patients
UCB is seeking a talented and experienced Senior Principal Scientist to join our Research Analytics team in Slough, United Kingdom
About the role
As a key member of the Research Analytics group, you will play a pivotal role in advancing UCB's drug discovery and development efforts by applying advanced analytical techniques to derive insights from complex data sets. This position offers a unique opportunity to contribute to the discovery and development of novel therapeutics in the areas of immunology and neurology, ultimately making a meaningful impact on patients' lives.
What you’ll do
* Lead the design and implementation of advanced data analytical strategies to support drug discovery and development programs.
* Analyze complex biological and chemical data sets to identify patterns, trends, and potential therapeutic targets and drug candidates.
* Collaborate closely with cross-functional teams including medicinal chemistry, biology, computational chemistry and bioinformatics to drive decision-making throughout the drug discovery process.
* Develop and apply innovative computational approaches to enhance data analysis and interpretation.
* Stay abreast of the latest developments in data science, bioinformatics, and machine learning, and integrate relevant methodologies into research projects.
* Act as a subject matter expert in research analytics, providing guidance and mentorship to junior team members.
* Manage 1-2 direct reports and set the team up for growth, strengthen our digital talent and foster a culture of open-minded co-creation of innovative solutions with internal / external network of partners
Interested? For this role we’re looking for the followingeducation, experienceandskills
* PhD. in computational biology, bioinformatics, computer science, or a related field with a minimum of 8 years of relevant industry experience.
* Proven track record of applying advanced data analytical techniques to drug discovery and development projects.
* Expertise in statistical analysis, machine learning, and data visualization.
* Strong programming skills in languages such as (Linux / Python / Jupyter / Scikit-learn / Spotfire / etc.).
* Experience working with large-scale biological and chemical data sets (e.g. biologics, sequencing, genomics, proteomics, high-throughput screening).
* Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
* Prior experience in the biopharmaceutical industry is preferred.
If you are interested to learn more about R&D within UCB, please find more information hereR&D at UCB.
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 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.
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