The Biologics Workstream is actively seeking a skilled computational biologist to enhance our team's capabilities in developing antibody-based therapeutics. This role sits at the intersection of AI, data science, antibody discovery, and characterization thereby necessitating collaboration across various teams specializing in oncology, immunology and advanced computational methods. Your primary objective will be to leverage in silico data to dissect the mode of action (MoA) and assist in the identification of promising antibody candidates.
As a computational biologist within our team, you will be responsible for analyzing large datasets that directly influence our drug discovery and development projects. You'll play a central role in setting up novel models for biologicals, integrate currently available models in our workstream, identify essential parameters for antibody efficacy and drive analytical strategies forward.
Responsibilities
The current process to develop cancer therapies is expensive, time-consuming and high-risk. More importantly, newly developed therapies are often only effective in a small group of the intended patient population.
The medical, financial, and societal burden of the disease is growing, and so is the demand for effective, safe and personalized treatments. Preclinical development is a crucial step in advancing a new cancer therapy towards clinical application. However, too many of the innovations that make it through the preclinical development process fail in late-stage clinical trials. Therefore, there is a clear need to increase the likelihood of success.
To truly make a difference in the lives of cancer patients, the preclinical development process needs to be revolutionized. Oncode Accelerator is taking on this challenge, driven by a profound commitment to improving patient outcomes. Our novel approach will allow for earlier predictions of cancer therapy effectiveness and safety, leading to a significantly faster process and better patient outcomes.
The role will take place at the interphase between the platform AI and the workstream biologics. You will be embedded within the workstream biologics at the UMC Utrecht, but will often interact with computational experts throughout the Netherlands (Oncode Accelerator, platform AI).
Wij geloven in de kracht van een divers team waarin ruimte is voor verschillende vaardigheden, expertises, sociale en culturele achtergronden. Wij zijn benieuwd naar jou!
Onze nieuwe collega's werven we zelf. We hebben geen behoefte aan acquisitie.
Wij, en derde partijen, maken op onze website gebruik van cookies. Wij gebruiken cookies om ervoor te zorgen dat onze website goed functioneert, om jouw voorkeuren op te slaan, om inzicht te verkrijgen in bezoekersgedrag, maar ook voor marketing en social media doeleinden (laten zien van gepersonaliseerde advertenties). Door op ‘Accepteren’ te klikken, ga je akkoord met het gebruik van alle cookies. In onze Cookieverklaring kun je meer lezen over de cookies die wij gebruiken en kun je jouw voorkeuren opslaan of wijzigen. Door ‘Weigeren’ te klikken ga je alleen akkoord met het gebruik van functionele cookies.