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Senior Computational Biologist

DeepLife is hiring!

About

DeepLife is a pre-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 an Senior Computational Biologist with deep expertise in foundation models and omics data analysis. This role is pivotal in leading our initiatives in omics data collection, participating in the strategic development and construction of multi-omics, multi-scale foundation models, and driving data strategies that align with our drug discovery goals. The successful candidate will have demonstrated experience in building large-scale deep learning models specifically tailored for omics data.

Key Responsibilities:

  • Lead Omics Data Collection: Spearhead the integration of single-cell and bulk omics datasets to power our computational platforms and enhance our drug discovery pipelines.

  • Innovate with Foundation Models: Design and develop multi-omics, multi-scale foundation models that transform how we approach drug discovery.

  • Strategic Leadership: Influence the direction of our computational biology efforts and contribute to strategic discussions that shape our drug discovery strategies.

  • Validate and Collaborate: Ensure scientific accuracy through rigorous validation of model outputs, and collaborate with interdisciplinary teams to integrate computational insights seamlessly.

  • Drive Data Strategy: Develop data strategies that align computational efforts with our overarching drug discovery goals.

  • Lead and Mentor: Guide project teams, mentor junior scientists, and manage timelines to achieve organizational objectives.

  • What We’re Looking For:Deep expertise in foundation models and omics data analysis.

  • Proven experience in building large-scale deep learning models for omics data.

  • A couple of years of practical industry experience is a must.

Why Join Us? Be part of a dynamic team where your contributions will have a direct impact on advancing drug discovery.

Ready to Make an Impact? Apply today here!

Preferred Experience

Qualifications (Ranked from Most Important to Least Important):

  1. Ph.D. in Computational Biology, Bioinformatics, or a closely related field, with a strong emphasis on omics data analysis.

  2. Proven expertise in the analysis of single-cell and bulk omics data, with extensive experience managing multiple omics types.

  3. Demonstrated ability to develop and implement large-scale deep learning models, particularly foundation models, tailored to omics data.

  4. Experience participating in strategic discussions and leading the development of multi-omics, multi-scale computational models.

  5. Strategic thinking capabilities with a track record in formulating and executing data strategies in a biotechnology or pharmaceutical setting.

  6. Leadership skills with experience in project management and team development.

  7. Proficiency in programming languages such as Python or R and familiarity with state-of-the-art bioinformatics tools and resources.

  8. Excellent communication skills, adept at presenting complex scientific data and strategies to a diverse audience.

Additional Information

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