Syllable Life Sciences is using cutting-edge machine learning and computer vision to automatically decipher body language in humans and laboratory animals. Founded by a team of Harvard neurobiologists and statisticians, we're applying techniques normally used to parse human speech into individual syllables -- hence the company name -- to understand behavior.

We're looking for folks with a dual background in biology and data science for an analyst position. That might mean you're a statistician who has worked on hard biological problems, or a biologist who has gained a lot of technical experience while analyzing their own data. In particular, we need strong visualization, statistics, and data-storytelling skills. We're a Python shop, so experience with the data science in Python (NumPy, Pandas, Notebooks, Matplotlib, etc) is a plus. Our machine learning techniques rely heavily on probabilistic graphical models and Bayesian statistics, but we're not afraid to train a neural net here or there when it makes sense.

Our platform has already been used to successfully classify therapeutics, and we're working with several large pharmaceutical companies to help make better treatments for movement disorders like Lou Gehrig's disease, and neurodegenerative diseases like Parkinson's and Alzheimer's. Check out the video accompanying our peer-reviewed publication for an explanation of the technology.

https://www.youtube.com/watch?v=Yl6qLbiEA_U.

Here are our academic papers validating the technology:

Wiltschko et al., 2015 - https://www.cell.com/neuron/fulltext/S0896-6273(15)01037-5

Markowitz et al., 2018 - https://www.cell.com/cell/pdf/S0092-8674(18)30512-9.pdf