You will join a group of Scientists in our Bioinformatics Research and Early Development team dedicated to building innovative products and approaches for the analysis and interpretation of next-generation sequencing data.
The science of interpreting the human genome is an exciting work in progress. Next-generation sequencing and genomic technologies are providing us with unprecedented visibility into the origins of health and disease. However, the main challenge is enabling the analysis, management and interpretation of massive datasets being produced by scientists and researchers around the world.
We know the ability to analyze and manage these datasets will revolutionize how we diagnose disease, develop drugs, and treat patients, especially in complex cases such as cancer. With a strong interdisciplinary knowledge in science and technology, we are elevating the speed and quality of genomic analysis, bringing us one step closer to solutions that will change and save lives.
The Bioinformatics Research and Early Development team is part of Roche Sequencing and located in Santa Clara, California.
We are seeking a committed and driven Bioinformatics Scientist for our Bioinformatics Research and Early Development team. We have a team of skilled bioinformatics researchers working in a highly collaborative environment with multiple internal and external teams. The work will be focused on developing novel applications for sequence data from multiple technologies, including the Roche nanopore sequencer. The applications incorporate developing algorithms as well as advanced data analytics to extract the maximum insights from sequencing data. As a researcher, the work is expected to be of high scientific rigor with attention to detail. If you enjoy working with cross-functional teams on solving challenging problems in a creative way, and driving research directions, we would love to hear from you.
Evaluate existing bioinformatics approaches and develop novel methods to push the state of the art.
Document your methods and analyses rigorously, and present findings in meetings.
Provide feedback and suggest research directions based on analyses performed.
- Master's degree (in Bioinformatics, Biostatistics, Computer Science, Computational Biology, or a related discipline) and 7 years of relevant experience OR Ph.D. and 4 years related experience.
- In-depth experience in secondary analysis tools/algorithms/databases for sequencing data.
In-depth experience with analyzing genome sequencing data from both short- and long-read technologies.
Good knowledge in genomics and/or statistics.
Proficiency in programming, e.g. Python, R, Java, C++.
Skills in data analytics or data science are a plus.
Strong verbal and written communication skills.
Team player known for your fanatical attention to detail at scale in a fast-paced environment.
Proven track record in presenting and publishing scientific articles.
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