Two NIH-funded positions are available in an exciting multi-institutional collaboration between the labs of Gabriel Lander at Scripps Research and Scott Stagg at Florida State University. We are seeking outstanding candidates to help design and build next-generation software for automated cryo-electron microscopy data collection. The researchers are expected to build upon the foundations of the current data collection software to develop a new web-based interface that leverages machine learning tools for optimized data collection. The candidates should have a computational mindset with expertise in coding in Python, databases, and/or web application design. No previous background in electron microscopy is required, but knowledge of structural biology will be considered a strength. This position will be an excellent opportunity for applicants who are looking to apply their computational expertise to the growing field of cryo-electron microscopy. The experience gained at this position is expected to train the researchers to seek career opportunities in academia or industry in the areas of data science/computational biology/structural biology. Applicants with a Ph.D or Master’s degree in Bioinformatics/Computer Science/Physics/Chemical/Mechanical/Electrical Engineering are encouraged to apply. The positions will be for three years including a one-year trial period. Interested candidates should email a brief cover letter stating your interest in our labs, a short CV and names and contact information of three referees to sstagg@fsu.edu or glander@scripps.edu.
Coding expertise is required. Coding in Python, working with SQL databases and/or web application design.
Interested candidates should email a brief cover letter stating your interest in our labs, a short CV and names and contact information of three referees to sstagg@fsu.edu or glander@scripps.edu.