Principal Bioinformatician/Head of Bioinformatics

Principal Bioinformatician/Head of Bioinformatics

Principal Bioinformatician/Head of Bioinformatics

Sherlock Biosciences is seeking an outstanding individual to join an exciting and fast-paced team focused on improving global health through highly innovative CRISPR and Synthetic Biology-based platforms for molecular diagnostics.  The Principal Bioinformatician/Head of Bioinformatics will be responsible for establishing a computational design and analysis pipeline for the development of new and innovative molecular diagnostics.  The successful candidate will provide strategic and technical leadership in defining and achieving goals related to computational design and analysis of nucleic acid detection technologies.  The role will also involve aspects of machine learning, computational biology, and data science.

Duties and Responsibilities Include:

  • Develop, implement, and maintain a computational pipeline for diagnostic assay development across multiple technology platforms.
  • Improve predictability of biological design through innovative computational approaches.
  • Analyze and extract information and insights from internal and publicly available datasets using existing methods, or developing new methods when necessary.
  • Collaborate with internal and external resources to generate appropriate data sets for model training and insight generation.
  • Establish and cultivate a data-centric company culture by developing and implementing best practices for data infrastructure and management.
  • Manage internal and external resources.
  • Contribute to intellectual property and assay design protocols.

Experience and Qualifications:

  • M.S. with 10+ years of experience or Ph.D. with 5+ years of experience in Bioinformatics, Computational Biology, Computer Science, or related field.
  • Minimum of 3 years of industry experience with track record of increasing levels of responsibility, including supervisory experience.
  • Deep experience mining public sequence databases and proven record of implementing analysis pipelines.
  • Expert use of sequence analysis tools and strong programming skills required.
  • Experience with machine learning required, with experience in biological applications desired.
  • Experience in creating utilities to allow scientists to investigate data independently.
  • Ability to manage multiple projects simultaneously.
  • Self-starter, independent thinker and quick learner with strong attention to detail.
  • Excellent communication skills with ability to convey technical information clearly and concisely

To apply click here

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