About Seven Bridges
Seven Bridges is the biomedical data analysis company accelerating breakthroughs in genomics research for cancer, drug development and precision medicine. We democratize genomics by enabling researchers anywhere to process and understand genomic data faster and more efficiently than ever, at any scale. Thousands of researchers in government, biotech, pharmaceutical and academic labs use Seven Bridges, including three of the largest genomics projects in the world: U.S. National Cancer Institute’s Cancer Genomics Cloud pilot, honored with the Bio-IT World Best of Show award 2016, the Million Veteran Program, and Genomics England’s 100,000 Genomes Project. As the NIH’s only commercial Trusted Partner, Seven Bridges authenticates and authorizes access to one of the world’s largest cancer genomics dataset. Seven Bridges has been recognized by the MIT Technology Review as one of the Top 50 Smartest Companies in the World in 2016. Company offices are located in Cambridge, Mass., San Francisco, London, Belgrade, and Istanbul.
Position
We are seeking multiple Bioinformatics Scientists within the scientific project management team. As a Bioinformatics Scientist, you will work directly with the largest research institutions in the world in order to help solve their bioinformatics challenges. In this role, you will help move projects forward across their entire lifecycle. This includes gathering user expectations and requirements, helping prospective customers to develop custom bioinformatic analysis solutions that are robust and scalable, and coordinating with the Scientific Account Managers and other bioinformatic scientists. You will develop new bioinformatics tools and approaches for analyzing and visualizing large, complex genomic data sets. Perform bioinformatics research and development for genome analysis and provide research expertise to engineering team. Take part in collaborations and scientific research in specific areas of Bioinformatics.
Seven Bridges works with some of the largest research organizations in the world, which means you will, too. You can expect to work with individual research groups and departments at top ten universities, pharmaceutical companies, and large consortia. On a regular basis, you can expect to develop, optimize, and apply tools and workflows for processing and analyzing biological data. You will evaluate tools and report to the project team to define, validate and implement software in order to improve our product and help researchers around the world.
Successful Bioinformatics Scientists enjoy learning about products, becoming an expert user of them, and teaching other people how to use them. They are adept in software development and have a deep understanding of biology and genomics. And they are very people-oriented and eager to work to resolve problems and to maintain a positive and productive relationship.
An ideal candidate has:
- PhD in computational biology, bioinformatics, or statistics (or foreign equivalent degree) is required
- Relevant experience or skills in computational biology, bioinformatics, machine learning, or statistics
- Proficiency with several of the following technologies: Java, C/C++, R, Python, Perl, and Unix
- Proficient in next-generation sequencing data analysis and variant analysis
- Great presentation skills
- The proven ability to use, troubleshoot, and teach software.
- Strong communication skills and the ability to work effectively with others
- The willingness to travel to meet customers and attend conferences (~10%)
We also think that...
- Previous experience with large-scale genomic data (e.g. RNA-seq, Exome-seq, ChIP-seq, etc.) is a big plus.
- Strong publication record in top tier scientific journals to include first author publications is also a big plus.
If you would like to help us advance genomics at our leading, well-funded, and dynamic startup, please apply here.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.
