About the Role:

As a Bioinformatics Principal Scientist on our Computational Biology team, you will advance our genetic medicine technologies, enabling the discovery and development of new therapeutics. Working with a diverse team of cell biologists, protein and RNA engineers, computational scientists, molecular biologists, and translational biologists, you will:

• Be an effective leader and translator when discussing analytical methods, genomics, data science, and software with colleagues from diverse scientific backgrounds

• Develop computational pipelines, tools, visualizations, and statistical methods to advance Tornado’s gene editing programs

• Serve as a resource and thought leader within Tornado at the intersection of protein engineering, computational modeling, experimental design, and software development.

• Support end users across a spectrum of computational abilities, from bioinformatics scientists to colleagues without any scripting or computational experience

• Integrate standard bioinformatics and laboratory information management (LIMS) tools when appropriate and contribute to custom software solutions when necessary

• Oversee the configuration and maintenance of local and cloud IT infrastructure, including dedicated environments for computational biology, modeling, and software development.

• Remain focused on the creation of viable therapeutic products that change the lives of patients

Requirements:

• PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, or related fields.

• Eight years’ experience driving the development of analytical methods and analyses in an industry setting

• Demonstrated experience with Python, JavaScript, Linux, SQL, R, and related software components

• A solid understanding of data science best practices and tools, including NumPy, SciPy, and related

• Exposure to the software development through an agile process of assessing end user needs and prototyping

Preferred Qualifications:

• Experience developing computational pipelines for genomic applications

• Experience with NGS sequencing, long read sequencing, RNA-Seq, and related assays

• Exposure to LIMS development and configuration in a biotechnology setting

• Experience supporting laboratory automation system