Insitro
Biotechnology, 279 E Grand Ave, South San Francisco, California, 94080, United States, 201-500 Employees
Phone Number: 65********
Who is INSITRO
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At...
Read More
-
Headquarters: 279 E Grand Ave, South San Francisco, California, 94080, United States
-
Date Founded: 2018
-
Employees: 201-500
-
Revenue: $1 Million to $5 Million
-
Active Tech Stack: See technologies
-
CEO:
Daphne Koller
Email
Phone
Industry: Biotechnology
insitro Org Chart and Mapping
Sign in to CIENCE GO Data to uncover contact details
Free credits every month
Frequently Asked Questions Regarding Insitro
Answer: insitro's headquarters are located at 279 E Grand Ave, South San Francisco, California, 94080, United States
Answer: insitro's phone number is 65********
Answer: insitro's official website is https://insitro.com
Answer: insitro's revenue is $1 Million to $5 Million
Answer: insitro has 201-500 employees
Answer: insitro is in Biotechnology
Answer: insitro contact info: Phone number: 65******** Website: https://insitro.com
Answer: insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. Were embarking on a new approach to drug development one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes. This cannot be done without great people. We are bringing together an outstanding team of people whose expertise spans multiple disciplines - life sciences, machine learning, human genetics, engineering, and drug discovery - and building a unique culture where people from diverse backgrounds work as a single team towards a common goal. We offer opportunities to collaborative people with expertise in life science and computational science. Join us to help bring better health to more people, faster and cheaper.
Premium Sales Data for Prospecting
-
Sales data across over 200M records
-
Up-to-date records (less decayed data)
-
Accurate Email Lists (real-world tested)
-
Powerful search engine and intuitive interface
Get Full Access
Sign in to CIENCE GO Data to uncover contact details
Free credits every month