Single-Cell Genomics Benchmark Architect

Single-Cell Genomics Benchmark Architect

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and develop challenging problems in single-cell genomics using advanced bioinformatics tools.
  • Company: Join Obsidian, a leader in innovative bioinformatics solutions.
  • Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
  • Other info: Work independently in a dynamic environment with great career advancement potential.
  • Why this job: Make a real impact in genomics while working with cutting-edge AI technologies.
  • Qualifications: Expertise in Python and experience with Scanpy, scvelo, and squidpy required.

The predicted salary is between 63000 - 77000 Β£ per year.

Obsidian is seeking a Bioinformatics & Computational Single-Cell Genomics Expert to design graduate-level problems leveraging tools like Scanpy, scvelo, and squidpy.

You will craft research-grade computational challenges, run evaluation loops against state-of-the-art AI models, and refine tasks to achieve the desired difficulty.

You should have hands-on experience with the listed libraries, strong Python skills, and the ability to work independently in a Linux environment.

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Single-Cell Genomics Benchmark Architect employer: Obsidian

Obsidian is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration among experts in the field. Employees benefit from a fast-start program with opportunities for growth and extension, alongside a commitment to quality in AI model training that makes a meaningful impact in genomics. With a focus on professional development and a supportive environment, Obsidian is dedicated to empowering its team members to excel in their careers.

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Contact Details:

Obsidian Recruitment Team

We think you need these skills to ace Single-Cell Genomics Benchmark Architect

Bioinformatics
Single-Cell Genomics
Scanpy
scvelo
squidpy
Python
Linux Environment