$180-230k
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan
Machine learning drug discovery & development
Job no longer available
Machine learning drug discovery & development
201-500 employees
Job no longer available
$180-230k
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan
201-500 employees
To become the first truly data-driven, integrated, drug discovery and development company.
Desirable
As pharmaceuticals become more specialised and complex, the traditional drug discovery process is becoming increasingly expensive and time consuming, taking up to 15 years from beginning to end. Insitro exists to reverse this trend by bringing a tech-first approach to the biopharma industry. By using machine learning to sort through vast amounts of medical data it is able to identify patterns in disease expression and identify targets for treatment.
This approach doesn't eliminate clinical trials but it augments the discovery process by highlighting productive areas of research. Perhaps the most difficut hurdle to overcome for Insitro is cultural: the huge pharmaceutical industry is used to relying on manual research and may have difficulty trusting machine learning guidance. However, this hasn't prevented their solution from being adopted by Gilead in their search for treatements for liver disease. It is also collaborating with Bristol Myers Squibb in ALS and dementia research. Should these partnerships prove successful Insitro stands to really shake up the pharmaceutical industry.
Freddie
Company Specialist at Welcome to the Jungle
28% employee growth in 12 months
Mar 2021
$400m
SERIES C
May 2020
$143m
SERIES B
The East Side, South San Francisco, CA
Daphne Koller
(CEO)Co-founder of Engageli and Coursera. Former COO and Calico Labs. Former Professor at Stanford University with a Post Doc in Computer Science from Berkley.
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