Data Scientist H / F

Description de poste

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

1. 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.
2. 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.
3. Interdisciplinary Collaboration: Work closely with biologists, engineers, and stakeholders to translate computational findings into actionable drug discovery insights.
4. 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.
5. 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):

1. Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or a related field.
2. 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.
3. Network-based Drug Repurposing Expertise: Demonstrated ability to apply network-based approaches to target identification and drug repurposing utilizing network medicine techniques to map and analyze complex biological interactions.
4. Systems Biology Proficiency: Expertise in integrating multi-omics data and modeling biological systems to derive actionable insights.
5. Single-Cell Analysis Experience: Extensive experience in computational biology with a focus on single-cell analysis to capture cellular heterogeneity.
6. Interdisciplinary Team Player: Proven ability to work effectively within cross-functional teams and communicate complex concepts to diverse audiences.

Benefits

Why Join DeepLife: At DeepLife, you'll play a pivotal role in bridging the gap between computational innovation and practical drug discovery. Our team is composed of 90 PhDs, 15 nationalities across EU and US, fostering a unique research environment for this project.

If your DNA is also A mbitious, C reative, T olerant, and G oal-oriented, apply today and join us to make a difference!

Key Skills: Laboratory Experience, Mammalian Cell Culture, Biochemistry, Assays, Protein Purification, Research Experience, Next Generation Sequencing, Research & Development, cGMP, Cell Culture, Molecular Biology, Flow Cytometry.

Employment Type: Full Time

Experience: years

Vacancy: 1