Data Science Director for Gene Editing Innovation

6 days ago


San Francisco, California, United States Skills Alliance Full time

About the Role:

As a Data Science Director for Gene Editing Innovation on our Computational Biology team at Skills Alliance, you will drive the advancement of genetic medicine technologies, enabling the discovery and development of new therapeutics. Collaborating with a diverse group of cell biologists, protein and RNA engineers, computational scientists, molecular biologists, and translational biologists, you will:

  • Translate Complex Data Insights: Effectively communicate analytical methods, genomics, data science, and software concepts to colleagues from various scientific backgrounds.
  • Pipeline Development: Create and optimize computational pipelines, tools, visualizations, and statistical methods to advance our gene editing programs.
  • Thought Leadership: Serve as a resource and thought leader within Skills Alliance at the intersection of protein engineering, computational modeling, experimental design, and software development.
  • User Support: Provide guidance to end users across a spectrum of computational abilities, from bioinformatics scientists to colleagues without any scripting or computational experience.
  • Infrastructure Management: Oversee the configuration and maintenance of local and cloud IT infrastructure, including dedicated environments for computational biology, modeling, and software development.

Requirements:

We seek an individual with a PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, or related fields, along with eight years' experience driving the development of analytical methods and analyses in an industry setting. You should demonstrate expertise in Python, JavaScript, Linux, SQL, R, and related software components, as well as a solid understanding of data science best practices and tools, including NumPy, SciPy, and related technologies.

Preferred Qualifications:

Experience developing computational pipelines for genomic applications, working with NGS sequencing, long read sequencing, RNA-Seq, and related assays, exposure to LIMS development and configuration in a biotechnology setting, and experience supporting laboratory automation systems are highly desirable.

Compensation: The estimated salary range for this position is $160,000 - $220,000 per annum, based on your qualifications and location.



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