Job Opportunity: Data Scientist for Genia Technologies

Genia’s mission is to make genetic information universally available. Our proprietary integrated circuits and NanoTag chemistry enable massively parallel single-molecule DNA sequencing. This versatile nanopore-based platform allows for single molecule, electrical, real-time analysis without the need for complicated optics, labels or amplification. By developing a true integrated circuit on standard semiconductor technology, Genia’s platform enables the use of molecular diagnostics in everyday clinical care. Genia Technologies was founded in March of 2009 and is headquartered in Santa Clara, California. Genia was acquired by Roche in June of 2014.

At Genia, we are developing a novel polymerase for a nano pore sequencing system designed and built in-house from the ground up. As a Principal Scientist, you will be performing experiments and analysis to drive development of our polymerase towards better sequencing performance. The successful candidate must be excited about single molecule enzyme kinetics and learning new concepts from chemistry, physics, algorithm development and electrical engineering and applying them to an interdisciplinary project. The majority of your time will be spent aggregating, analyzing and summarizing the output of DNA sequencing experiments.

Responsibilities Include:
Design; analysis of single molecule experiments utilizing Genia’s proprietary sequencing platform to answer polymerase related questions that affect accuracy and sequencing rate
Working alongside research assistants and other groups to troubleshoot experiments and their associated analyses
Using command line tools to perform data conversion and analysis
Quickly writing scripts to automate routine analysis tasks
Creating insightful, simple graphics to represent complex trends
Must have scientific programming experience (Matlab, R, Python, etc)
Experience with enzymology or enzyme engineering projects is a strong plus
Experience managing junior staff is a plus
Need to be comfortable working in a Unix environment
MS or PhD in biochemistry, biophysics or bioinformatics
2-5 years of industry experience
Experience working on a long-term, lab-based project (academic experience acceptable)