Senior Principal Scientist, Research Analytics

2 weeks ago

Slough, United Kingdom UCB Full time

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

I nterested? For this role we’re looking for the following   education, experience   and  skills

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.

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 

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