Bioinformatics Principal Scientist

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

Created: 2024-11-09