Schrödinger will announce second quarter 2025 financial results today. Join us at 4:30PM ET for an update on our progress. Listen to the LIVE webcast here: https://lnkd.in/ePxZYGE2
Schrödinger
Software Development
New York, New York 57,307 followers
Transforming drug discovery and materials research
About us
Schrödinger’s industry-leading computational platform facilitates the research efforts of biopharmaceutical and industrial companies, academic institutions, and government laboratories worldwide. Schrödinger also has wholly-owned and collaborative drug discovery programs in a broad range of therapeutic areas. Schrödinger is deeply committed to investing in the science and talent that drive its computational platform. Schrödinger was founded in 1990 and is engaged with customers and collaborators in more than 70 countries. We welcome you to visit our blog at www.extrapolations.com. Stay Alert: Avoid Recruitment Scams Across industries, cybercriminals are posing as company recruiters using fake job postings and employment offers. Please stay vigilant: - Never provide personal/financial information or payment to anyone claiming to offer a job opportunity - Always verify job postings through official company websites or direct contacts - Be cautious of unusual communication methods or overly quick offers
- Website
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http://www.schrodinger.com
External link for Schrödinger
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- New York, New York
- Type
- Public Company
- Founded
- 1990
Locations
Employees at Schrödinger
Updates
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Schrödinger continuously develops scientific solutions that push the boundaries of molecular discovery. We are excited to share the new features and usability improvements included in the 2025-3 software release, which is now available for download. Check out the full release notes for small molecule drug discovery, biologics discovery, materials science, and more: https://lnkd.in/eqivpigu
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At Schrödinger, we’ve spent years developing best-in-class, proprietary force fields that are purpose-built for accuracy and continuously refined by our world-class scientists. These force fields are the foundation for reliable molecular simulations, helping researchers push boundaries in drug discovery and materials design. Join us for a webinar on August 6th exploring our latest innovation: MPNICE, a cutting-edge Machine Learning Force Field (MLFF) architecture designed to deliver faster, more accurate results for materials science applications. Learn how MPNICE enhances accuracy, expands applicability, and represents the next generation of ML-augmented force fields. Don’t miss it — register today: https://lnkd.in/efsE_GM5 #MaterialsScience #MachineLearning #MolecularModeling #ComputationalChemistry #MLFF #Schrodinger #Webinar
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Schrödinger’s 2025 US User Group Meeting is just around the corner – taking place September 15-17 in beautiful Newport, RI. The interactive program includes workshops, panel discussions, and scientific presentations by Schrödinger team members and customers, as well as various networking opportunities. Check out a selection of the many exciting talks and speakers below, then explore the full program and register here: https://lnkd.in/e9aBPQUk
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Join our upcoming webinar to discover Schrödinger’s latest cutting-edge Machine Learning Force Field (MLFF) architecture, MPNICE. This state-of-the-art MLFF architecture: ▪️Incorporates models trained on materials encompassing the entire periodic table ▪️Prioritizes efficient throughput ▪️Enables atomistic simulations at length and time scales that were previously inaccessible without sacrificing accuracy In the webinar, we will outline available tools in the Schrödinger suite that incorporate MPNICE to enable larger and more complex simulations for materials design, providing industry relevant examples throughout. Register now: https://lnkd.in/gv_aCyJ9
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Schrödinger and Ajax Therapeutics announced today that we have expanded our exclusive research collaboration to include a new Janus kinase (JAK) target. The partnership leverages Schrödinger’s advanced computational platform and Ajax’s structural biology insights to develop a pipeline of novel molecules, with a focus on JAK inhibitors. Learn more about the expanded collaboration in our press release: https://lnkd.in/e28sieye
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Targeting cryptic binding sites can be a powerful strategy for tackling challenging drug targets, especially where traditional approaches fall short. However, identifying and evaluating cryptic binding sites remains a key challenge in early drug discovery. Join us for a webinar on July 30th to learn about a novel computational workflow that achieved a remarkable 83 percent success rate in detecting the cryptic binding sites within a retrospective benchmark set of 61 targets. Learn more and register: https://hubs.li/Q03xcdTH0
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Schrödinger is excited to be back at the Controlled Release Society (CRS) Annual Meeting taking place July 14-18 in Philadelphia. Join our tech forum on July 15th to discover how structure-based molecular modeling and machine learning can provide valuable insights and a competitive edge in drug formulation, including applications in lipid nanoparticles and excipient selection. Stop by our booth #302 to discuss how we can help with your challenges. Learn more: https://hubs.li/Q03wfp8c0
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The biopharma industry is facing significant uncertainty, leading to widespread downsizing efforts. To support those affected, Schrödinger is offering free seats in our introductory or intermediate online certification courses. These asynchronous and self-paced courses are designed to fit into your schedule, providing an opportunity to upskill at your own pace. To claim a free course seat, fill out this form and we will follow up with additional information: https://lnkd.in/g-MtzuXG Explore our courses here: https://lnkd.in/gVVbjqR5 This is a challenging time for many in our industry. Please share this opportunity with anyone in your network who you believe could benefit.
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We're thrilled to congratulate the three winners of Schrödinger's inaugural Virtual Science Fair: Ryan Miller, Shreya Krishnan, and Beau Lonnquist! Your abstracts and research presentations were outstanding, and we look forward to your contributions to the field. A heartfelt thank you to all participants, presenters, and internal Schrödinger experts who served as judges. Thank you for making our Molecules & Models Science Fair an impactful and inspiring event! Check out the finalist presentations here: https://lnkd.in/eQ_5B9Ry