Scientist II
Computational Chemistry, Chemoinformatics
Confirmed live in the last 24 hours

51-200 employees

Data-driven drug discovery & development
Company Overview
Insitro’s mission is to use machine learning and data at scale to transform the way that drugs are discovered and developed for patients. The company is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy.
San Bruno, CA, USA
Experience Level
Desired Skills
Data Analysis
AI & Machine Learning
Biology & Biotech
  • PhD in chemistry or Computational Science (cheminformatics, computational chemistry, chemical engineering, computer science or other scientific area with a computational emphasis) with 3+ years of industry experience in drug discovery
  • Demonstrated track record of advancing projects through cheminformatics impact
  • High level of creativity and productivity towards solving cheminformatics problems
  • Proficiency with scientific programming/scripting and data analytics, e.g. Spotfire
  • Deep knowledge of data mining and statistical analysis
  • Working knowledge of drug discovery principles and techniques across project life cycle
  • Excellent written and verbal communication skills across multi-functional teams
  • Intellectual curiosity to push the boundaries of drug discovery
  • Lead cheminformatics/data engineering efforts across multiple drug discovery projects and platforms to improve drug design cycles
  • Work at the interface of drug discovery, DNA-encoded library platform and ML to impact hit and lead finding campaigns
  • Lead data integration and curation for drug discovery efforts
  • Explore new approaches to apply machine learning in drug discovery