Drug Discovery Scientist
Structure-Based ADME/TOX Prediction
Confirmed live in the last 24 hours
Schrödinger

501-1,000 employees

Computational platform for biopharmaceutical research and drug discovery
Company Overview
Schrödinger stands out for its robust computational platform that is widely utilized by various sectors, including biopharmaceutical and industrial companies, academic institutions, and government laboratories globally, demonstrating its broad applicability and industry leadership. The company's commitment to investing in science and talent underscores its culture of continuous learning and growth. Furthermore, Schrödinger's active engagement in drug discovery programs across multiple therapeutic areas showcases its technical innovation and competitive edge in accelerating the development of new materials.

Company Stage

Grant

Total Funding

$567.2M

Founded

1990

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

3%

1 year growth

11%

2 year growth

39%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • PhD in computational chemistry, biochemistry, biophysics, or a related field
  • Peer-reviewed publications in the field
  • Experience with python or another programming language
Responsibilities
  • Combine physics-based modeling, medicinal chemistry knowledge, machine learning, and a wealth of experimental data to create and validate new technologies for the prediction of ADME/TOX properties
  • Exploit detailed information in experimental assays to find implications to refine and improve our models
  • Work with our therapeutics group to deploy these new technologies to active projects
  • Refine the technology to a level of quality suitable for deployment at pharmaceutical companies worldwide