Job Description

We are partnered with a rapidly growing, innovative gene editing company that is looking for Scientists to join their analytical development group and help with method development, transfer, qualification and validation to support material and lot release testing.

This company is disrupting the cell and gene therapy space with a wave of proprietary CRISPR-based systems to accurately edit DNA where current technologies cannot. Their goal is to to revolutionize gene editing and unlock its power for the benefit of patients all around the world.

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 gene editing programs
• Serve as a resource and thought leader 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
• Experience managing or leading a Team of 3-4+
• 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 systems

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