Computational Biologist β€” Liquid Biopsy & Multi-Omics in Cambridge

Computational Biologist β€” Liquid Biopsy & Multi-Omics in Cambridge

Cambridge Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop cutting-edge computational methods for disease detection from biospecimens.
  • Company: Early-stage biotech company focused on innovative health solutions.
  • Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
  • Other info: Join a passionate team dedicated to advancing medical technology.
  • Why this job: Make a real difference in healthcare with your skills in a dynamic team.
  • Qualifications: Experience in computational biology and strong collaboration skills.

The predicted salary is between 60000 - 80000 Β£ per year.

FL103 is seeking a highly motivated computational biologist to join our early-stage biotech company.

You will develop and apply state-of-the-art computational approaches to detect disease-relevant cellular dynamics from minimally invasive biospecimens.

You will collaborate with biologists, assay developers, and leadership to design experiments, build scalable data pipelines, and translate complex results into actionable biological and strategic insights for disease detection and monitoring.

Computational Biologist β€” Liquid Biopsy & Multi-Omics in Cambridge employer: PVH (Tommy Hilfiger/Calvin Klein)

At FL103, we pride ourselves on being an excellent employer that fosters innovation and collaboration in the rapidly evolving field of biotechnology. Our supportive work culture encourages professional growth through continuous learning opportunities and hands-on experience with cutting-edge technologies. Located in a vibrant biotech hub, we offer unique advantages such as access to industry leaders and a network of like-minded professionals dedicated to making a meaningful impact in disease detection and monitoring.

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Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

We think you need these skills to ace Computational Biologist β€” Liquid Biopsy & Multi-Omics in Cambridge

Computational Biology
Data Analysis
Experimental Design
Collaboration Skills
Scalable Data Pipelines
Biological Insight Translation
Disease Detection Techniques