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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:

  • Leadership in Omics Data Collection: Lead the acquisition and integration of comprehensive single-cell and bulk omics datasets to support our computational platforms and advance our drug discovery pipelines.

  • Construction of Multi-Omics, Multi-Scale Foundation Models: Play a central role in the design and development of innovative foundation models that integrate multiple omics data types at various scales.

  • Strategic Project Support and Discussion: Provide expertise and leadership in strategic discussions that shape the direction of computational biology efforts and influence broader drug discovery strategies.

  • Foundation Model Output Validation: Engage in rigorous validation of foundation model outputs to ensure their scientific accuracy and applicability to specific drug discovery contexts.

  • Data Strategy Development: Develop and oversee data strategies that ensure the alignment of computational efforts with the overarching goals of our drug discovery operations.

  • Interdisciplinary Collaboration: Build and maintain strong collaborative ties with various teams, including biology, chemistry, and clinical departments, to ensure the seamless integration of computational insights.

  • Project Leadership: Guide project teams, mentor junior scientists, and manage project timelines and milestones in line with organizational objectives.

  • Innovative Computational Approaches: Initiate and implement cutting-edge computational methods to address complex problems within the drug discovery landscape.

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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