How do you build an #AI-driven biotech? Our CEO Sajith Wickramasekara will share insights at Decoding Bio's AI x Bio Summit, together with Nabiha Saklayen (CEO, Cellino), Michael Nally (CEO, Generate:Biomedicines), and moderator Bigyan Bista (Enveda Biosciences). Ahead of next week’s event, check out Saji’s op-ed in STAT on the pitfalls and potential of AI in biotech: https://lnkd.in/gFF-ingB
Benchling
Software Development
San Francisco, California 41,728 followers
On a mission to unlock the power of biotechnology and empower our global customers to get to milestones & market faster.
About us
Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology. Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science. https://www.benchling.com/careers/
- Website
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https://benchling.com
External link for Benchling
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2012
Locations
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Primary
680 Folsom St
8th Floor
San Francisco, California 94107, US
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100 Summer St
24th Floor
Boston, Massachusetts 02136, US
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Talacker 41
Zürich, CH-8001, CH
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41 Arthur Street
Belfast, Northern Ireland BT1 4GB, GB
Employees at Benchling
Updates
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What happens when over 1,500 scientists at Sanofi transition from legacy systems to Benchling? Real-time visibility into standardized data across teams is a critical starting point for their #ML models. See how more than 30 global teams at Sanofi are accelerating R&D with Benchling — from early discovery-omics such as precision oncology, to core therapeutic pipeline teams including novel modalities like mRNA, and all the way up the lifecycle to translational teams. https://lnkd.in/gamMp_yi #PoweredByAI #BuiltOnBenchling
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What are 4 of the biggest cloud computing myths in #pharma and life sciences? Benchling’s CISO Zach Powers breaks it down: 🚫 Myth #1: Cloud computing isn’t as safe 🚫 Myth #2: Security is solely the responsibility of the vendor 🚫 Myth #3: As more companies move to cloud, there will be more security incidents 🚫 Myth #4: You can’t verify what’s happening with your data in the cloud In TechInformed, find out why these commonly held — and erroneous — security concerns are holding the pharma industry back: https://lnkd.in/eQGQs-g6
Four cloud computing myths in Life Sciences
http://techinformed.com
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“The focus for #AI can't just be on discovery.” Find out why the rest of the R&D system — developing, testing, approving, and manufacturing drugs — will need to accommodate the imminent increase in speed and scale. https://lnkd.in/ez---fvj
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Billions of dollars in funding may not be enough. What happens when #AI fuels more drug candidates than our current R&D system can handle? ICYMI: Benchling CEO Sajith Wickramasekara joined industry experts at #FTPharma to weigh in — how will #biopharma need to adapt R&D processes and teams to make the most of AI/ML? https://lnkd.in/eSTGFY7g
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With over 1,600 drug candidates in preclinical and clinical development, RNA-based therapeutics are on the rise. But modeling siRNA and oligonucleotide conjugates can be challenging — until now. Find out how you can now design and visualize siRNAs and antisense oligonucleotide conjugates directly in Benchling: https://lnkd.in/eME6Mmtr
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🍎 Attention all Benchling users in NYC! We’re excited to launch a Benchling User Group in your area! These groups are led by Benchling users, for Benchling users. Whether you’re a scientist, admin, developer, or data scientist, come connect with your colleagues and share your ideas, solutions, and tips. Join the online group and connect with NYC’s group leader Ada Zhang — stay tuned for more info on the first local meetup! https://lnkd.in/eeN__hjX #BenchlingCommunity
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Pharma R&D has a known efficiency challenge. Today’s companies spend upwards of $6 billion in R&D per drug approval. So how do we turn it around? Benchling co-founders Sajith Wickramasekara and Ashu Singhal discuss how the industry must use #AI and technology to confront inefficiencies across the entire R&D lifecycle, especially as the scale and speed of AI-discovered drugs pressures the system to bring more treatments to market, faster. https://lnkd.in/eKGQhR3u
What if billions in AI funding led to the same number of drugs? | Benchling
benchling.com
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In La Tribune, see how European biopharma, including Sanofi, are using Benchling to centralize and unify their R&D data, enabling collaboration and the implementation of #AI. Find out how we’re putting the cloud at the service of biotechs in France and around the world. 🇫🇷 En français: https://lnkd.in/eKixuRfV
Benchling met le cloud au service des biotechs
latribune.fr
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See how the development teams at Zealand Pharma ensure real-time access to data and secure information exchange with multiple CMO partners — all on a GxP-compliant platform. https://lnkd.in/eyzKhg95 #BuiltOnBenchling
Zealand Pharma: Advancing next-gen treatments for obesity with greater data accessibility, collaboration, and compliance
benchling.com