Nathan Sanders writes:
Montai Health is an early-stage biotechnology company developing a platform for understanding and leveraging complex molecular interactions within organisms to solve global challenges in human health and sustainability. The company leverages a multidisciplinary approach that integrates tools ranging from machine learning and big data to multi-omics and high-throughput screening. Montai Health was founded in Flagship Pioneering’s venture creation engine has conceived and created companies such as Moderna Therapeutics (NASDAQ: MRNA). Montai’s computational modeling group performs original model development ranging from Bayesian statistical modeling (using Stan!) of non-linear biological responses to machine learning with deep graph convolutional models and sequence representation models using frameworks such as Pytorch. The open positions are in chemical machine learning and computational biology, with an emphasis on sequence modeling.
And here are the two postings:
Looks cool!
Full disclosure: I’ve done a little bit of consulting for these people.
《to solve global challenges in human health and sustainability.》
Why do I read that as “to sell expensive solutions to created problems”?
Rsm:
They’re trying to make money, sure. I don’t know whether their plan is to sell expensive solutions or to sell inexpensive solutions but still make money by selling lots of them at low cost. But why do you say “to created problems”? There are lots of real global challenges in human health and sustainability already. Just speaking in general terms, I’m supportive of the idea of using technology and statistics to make better use of sparse experimental data to attack these important problems.
One good test is to find out whether it’s a hammer in search of a nail……..
Montai Health was founded in Flagship Pioneering’s venture creation engine has conceived and created companies
Aren’t we missing a “which” there? I had to read that 3 times but it is early here.