Schrödinger Company Culture: Molecular Approach, Big Results

Employees at Schrödinger have the unique opportunity to work on cutting-edge technologies — and create big changes because of them. “Our biotech can assist developers in finding the best cure for a disease or the next green energy breakthrough,” CTO Pat Lorton said. To leadership, it’s also essential that those opportunities be available to any individual looking to make a difference. “We believe that hiring and retaining diverse team members is the only way for companies to innovate and gain new perspectives,” DEI Associate Gaby Charlot said. Lorton summarized it best: “One great developer can have a huge impact here.”

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EMPOWERMENT THROUGH INCLUSION

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Creating a diverse culture of acceptance and learning

At Schrödinger, making a difference involves more than scientific breakthroughs in biotech — it’s also about authentically understanding each other. That’s why Gaby Charlot weaves DEI into initiatives throughout the company. As leader of the ERG and mentorship programs, L&D courses and DEI council, she’s witnessed the impact of recent company-wide listening sessions for topics like accessibility. “We’ve been able to take some amazing steps from that conversation, including a policy recommendation,” Charlot said. “We’re creating a culture of continuous learning that being an ally requires.”

Gaby Charlot

DEI Associate

People stay at an organization when they understand decisions that affect them, when the company is held accountable to its goals, when they feel they are being evaluated and treated fairly, and when they are truly heard.

CREATING IMPACT

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Delivering innovation through the power of molecules

Pat Lorton

Chief Technology Officer

CTO Pat Lorton doesn’t have a traditional mission at Schrödinger — an aspect of the job he favors. “We’re approaching a problem with nearly infinite scale: Finding the best molecule in a space of 1060 possibilities, making predictions and filtering the right level of information,” he said. By harnessing cloud tech like Kafka and Kubernetes, teams can accurately predict chemical properties and scale calculations to develop impactful solutions. “It’s a challenge on every level, but the results are incredibly impressive, greatly speeding up our development of potential disease treatments.”

Our AutoDesigner project pulls our products together, automating huge swaths of drug design into one gigantic-scale workflow to accurately sample more chemical space than anyone has done before.

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