Degree in Computational Chemistry
Cheminformatics, Design, Drug Discovery, Effective communication skills, Infrastructure as code, Machine learning techniques
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:
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
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:
About insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience, oncology and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.
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