Computational Biologist

3 weeks ago


London, Greater London, United Kingdom CY Partners Full time

Position Overview:
Are you enthusiastic about the convergence of biological sciences and computational analysis? Do you excel in a team-oriented atmosphere where your expertise can significantly influence pioneering scientific endeavors? CY Partners is in search of a skilled Computational Biologist to become a vital member of an innovative team.

Role Responsibilities:
As a Computational Biologist, you will spearhead essential data evaluations, oversee crucial datasets, and develop the bioinformatics framework within the strategic initiative.

With access to advanced computational resources and state-of-the-art IT infrastructure, your contributions will empower researchers worldwide, facilitating advancements in genomics and genetics.

You will collaborate with a diverse group of computational biologists, life scientists, and software developers, fostering inventive solutions.



Key Duties:
  • Direct the assembly, annotation, and pan-genomic investigations to tackle significant scientific inquiries.
  • Conduct intricate genome and transcriptome evaluations, concentrating on the interactions among key organisms.
  • Design and refine bioinformatics systems to bolster robust and scalable research applications.
  • Offer expert guidance and mentorship to junior computational biologists, doctoral candidates, and early-career researchers, nurturing a culture of excellence and teamwork.

Qualifications and Skills:
  • Doctorate in Bioinformatics, Computational Biology, Genetics, or a closely related discipline.
  • Demonstrated proficiency in genome assembly, annotation, and pan-genomics, along with transcriptome analysis of complex datasets.
  • Strong capabilities in statistical evaluation and scripting, with expertise in R, Python, and Bash.

Benefits:
  • A dynamic position at the cutting edge of scientific research within a prominent research organization.
  • The chance to make significant contributions to global scientific research.
  • Extensive opportunities for professional development and collaboration within both UK and international scientific communities.
  • Flexible working options, including the potential for regular remote work.


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