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Drug Discovery Scientist

DeepLife is hiring!

About

DeepLife is a series A startup focused on addressing the urgent need to increase drug discovery reliability by acting on the earliest step, drug target identification. This consists of identifying, a molecular target, such as a protein, that will trigger the transition from disease to healthy cells. With current methods, only 1 target in 10,000 reach the market, leading to a significant loss of time and efforts in the community.

Our approach is to leverage the recent revolution in the omics data, measuring precisely cells activity at large scale, and build foundation models to mimic cell behavior in various contexts and identify the optimal trigger to reverse disease state.

Half of the team today is dedicated to build the largest omics database, aka omics atlas, to map all human body tissues and diseases and reduce experimental biases.

We offer a research friendly environment, with 90% of the company holding a PhD, with academic collaborations and publications. The team is international and composed of +10 different nationalities. The company is remote first with most of the work is remote and regular events organized in our offices in Paris.

Job Description

Overview:

We are seeking a Drug Discovery Scientist with strong expertise in deep learning, systems biology, and computational biology—particularly in single-cell analysis. In this role, you will develop innovative methods for target identification, drug repurposing, and patient stratification. Your work will drive our drug discovery programs and engage directly with pharmaceutical partners to translate complex data into actionable therapeutic insights.

Key Responsibilities:

• Method Development for Target Identification: Develop advanced computational methods leveraging deep learning and systems biology to identify novel drug targets by integrating multi-omics data.

• Computational Approaches for Drug Repurposing: Create predictive models that uncover new applications for existing drugs through the analysis of multi-omics and single-cell datasets.

• Network Medicine Integration: Apply network-based approaches to understand and identify therapeutic targets and repurposing opportunities, harnessing principles from network medicine to map complex biological interactions.

• Interdisciplinary Collaboration: Work closely with biologists, chemists, clinicians, and data scientists 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 non-scientific audiences, including key stakeholders in pharmaceutical companies.

Preferred Experience

Qualifications (Ranked by Importance):

• Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or a related field.

• Expertise in Deep Learning for Target Identification: Proven experience developing computational methods using deep learning and systems biology to uncover novel drug targets.

• Strong Deep Learning Background: Demonstrated proficiency in applying foundation models and advanced deep learning techniques to biological data.

• Innovative Drug Repurposing Strategies: Experience in designing computational approaches that leverage multi-omics and single-cell data to discover new uses for existing drugs.

• Network Medicine 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.

• Systems Biology Proficiency: Expertise in integrating multi-omics data and modeling biological systems to derive actionable insights.

• Single-Cell Analysis Experience: Extensive experience in computational biology with a focus on single-cell analysis to capture cellular heterogeneity.

• Programming Proficiency: Skilled in Python, with hands-on experience using bioinformatics tools and libraries.

• Interdisciplinary Team Player: Proven ability to work effectively within cross-functional teams and communicate complex concepts to diverse audiences.

Why Join DeepLife?

At DeepLife, you’ll play a pivotal role in bridging the gap between computational innovation and practical drug discovery. By harnessing deep learning, systems biology, network medicine, and single-cell analysis, your work will pave the way for novel therapeutic strategies and personalized medicine. Join our dynamic, international team and help shape the future of next-generation therapies.

Ready to drive transformative change in drug discovery? Apply today and become a key innovator at DeepLife!

Additional Information

  • Contract Type: Full-Time
  • Location: Paris
  • Possible full remote
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