We are looking for a skilled Bioinformatician. If you have a solid foundation in traditional statistical approaches and a good working knowledge of machine learning methodologies, this role is for you. Your expertise will be critical in driving the development and implementation of approaches for predictive biomarker discovery and validation using complex proteomic datasets. As part of a multidisciplinary team, you will contribute to all phases of the project life cycle, from experimental design to manuscript preparation. Join us in making a difference at the intersection of programming and life sciences!

A candidate with a PhD in a relevant or STEM-based subject, along with over 3 years of experience in statistical and predictive modeling for high-dimensional data analysis. Additionally, the ideal candidate should have over 2 years of experience in proteomic bioinformatics and be fluent in R.

The role involves applying various machine learning approaches to complex molecular and clinical data for biomarker discovery, as well as handling and drawing insights from large biological datasets. A strong problem-solving track record in an interdisciplinary setting and a solid understanding of biochemical and molecular biological systems is essential.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.