Senior Drug Discovery Scientist
Senior Drug Discovery Scientist
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Job Description
We are seeking a Senior Drug Discovery Scientist with a strong expertise in deep learning and systems biology to develop SOTA methods for target identification and drug repurposing. You will develop large scale causal models of the cells to address the exciting challenge of predicting cells response to perturbations and identify the optimal treatment given a disease. Your will lead an AI team to convert ideas into models and eventually actionable therapeutic insights.
Tasks
Method Development for Target Identification and Drug Repurposing: Develop SOTA large scale causal models on omics data to learn cell response to perturbations and predict the optimal target and to address a given disease.
Lead an AI Team: Lead a multidisciplinary AI team by mentoring scientists and engineers setting clear project goals and fostering a culture of innovation and collaboration across computational and experimental disciplines.
Interdisciplinary Collaboration: Work closely with biologists engineer and stake holders to translate computational findings into actionable drug discovery insights.
Continuous Learning and Innovation: Stay abreast of the latest advancements in computational biology deep learning and systems biology continuously refining your methods and incorporating new technologies.
Effective Communication: Present complex data and concepts clearly to both scientific and nonscientific audiences including key stakeholders in pharmaceutical companies.
Requirements
Qualifications (Ranked by Importance):
Ph.D. in Computational Biology Bioinformatics Systems Biology or a related field.
Expertise in Deep Learning for Target Identification or Drug Repurposing: Proven track record in designing and deploying deep learning models (including generative Bayesian and causal models) applied to omics data to uncover novel drug targets.
Network based Drug Repurposing Expertise: Demonstrated ability to apply networkbased approaches to target identification and drug repurposing utilising network medicine techniques to map and analyse complex biological interactions.
Systems Biology Proficiency: Expertise in integrating multiomics data and modelling biological systems to derive actionable insights.
SingleCell Analysis Experience: Extensive experience in computational biology with a focus on singlecell analysis to capture cellular heterogeneity.
Interdisciplinary Team Player: Proven ability to work effectively within crossfunctional teams and communicate complex concepts to diverse audiences.
Benefits
Why Join DeepLife
At DeepLife youll play a pivotal role in bridging the gap between computational innovation and practical drug discovery. Our team is composed of 90 PhD 15 nationalities across EU and US fostering a unique research environment for this project.
If your DNA is also Ambitious Creative Tolerant and Goaloriented apply today and join us to make a difference!
Employment Type
Full Time
