Scientist I, Computational Chemistry (Modeling)

The Opportunity

The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical datasets that address key shortcomings in the target discovery and drug development process. 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 our pipeline of drug candidates by working to support drug discovery projects.

Key Responsibilities:

• Provide structural and chemical insight of protein ligand interactions to drive towards clinical candidates
• Build tools and infrastructure to improve drug design cycles
• Work at the interface of drug discovery and ML modeling to advance projects
• Support efforts in data integration and curation in drug discovery
• 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, computer science or other scientific area with a computational emphasis)
• Proven track record of advancing projects through modeling work
• High level of creativity and productivity towards solving design problems
• Proficiency with scientific modeling software, programming/scripting, and informatics tools
• 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

Compensation & Benefits at insitro

Our target starting salary for successful US-based applicants for this role is $140,000 - $155,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.

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, subject to the terms of those plans and associated policies.

In addition, insitro also provides our employees:

• 401(k) plan with employer matching for contributions
• Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
• Open, flexible vacation policy
• Paid parental leave
• Quarterly budget for books and online courses for self-development
• Support to occasionally attend professional conferences that are meaningful to your career growth and development
• New hire stipend for home office setup
• Monthly cell phone & internet stipend
• Access to free onsite baristas and cafe with daily lunch and breakfast
• Access to free onsite fitness center
• Commuter benefits

insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.