Scientist II, Computational Chemistry (Chemoinformatics)

The Opportunity

The heart of insitro’s strategy is the combination of novel, cutting edge methods in machine learning, biology at scale and drug discovery capabilities that address key bottlenecks in the drug development pipeline. To accomplish that, we are putting together an incredible team of highly talented drug discovery scientists who want to make a difference by bringing meaningful and accessible medicines to patients with significant unmet needs. In this role, you will help build the cheminformatics and drug discovery data engineering capabilities.

Key Responsibilities

• 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

You will be joining a growing biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

About You

• 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