Basepair develops SaaS to manage, analyze and interpret next generation sequencing (NGS) data. Scientists and physicians at Harvard Medical School, NYU, UCSD, etc. use Basepair to make breakthrough medical discoveries in cancer, AIDS, etc, and provide better medical care to patients. Founded by a scientist from Harvard Medical School, Basepair is driven by the mission to use technology to improve healthcare. Our team is analytical, fast-paced and informal.
This is an opportunity to make a significant impact at an early stage startup. We’re a small team, working closely together to make people’s lives better! Your voice will be heard and you will have the autonomy to set your vision. We strongly encourage ongoing learning to be the best in your position. We provide a competitive salary, meaningful equity excellent healthcare and other benefits.
Genomic technologies like next generation DNA sequencing (NGS) have the potential to fundamentally change medicine, research, agriculture, etc. However, the biggest bottleneck is data analysis and interpretation. We have started Basepair to make NGS data analysis as simple as booking a flight online and open the floodgates for adoption of NGS.
We are genomics enthusiasts who have first-hand understanding of the NGS science, technology and market.
Amit Sinha, PhD
Amit is a computational biologist with a decade of expertise. Before starting Basepair he was an Instructor at Harvard Medical School.
Josh is a biotech major and excels at driving growth at early-stage startups. He leads the business development, customer success and support.
Michael is a computer science major and full stack developer. He works on front-end, back-end, testing and analytics.
Brooke studies statistical genomics at Cornell University. She works on bioinformatics programming and data visualizations.
Mukta Phatak, PhD
Mukta is an early pioneer of NGS technology; evaluating software, establishing analysis best-practices and educating scientists.
Aayush is a computer science student at Cornell University, with interest in machine learning, artificial intelligence and software engineering.