TetraScience

🌟 Intern spotlight 🌟 Welcome to the team Gabriella Messenger! Gabby strengthens our data science capabilities this summer. A Northwestern student studying data science and mathematical methods, Gabby is keen on using her skills in statistical modeling, Python, and causal inference to answer deep, consequential, and real-world questions. Her work will focus on building AI-native scientific datasets to fuel predictive modeling applications within our Scientific Data and AI Cloud platform. Each of our interns joins engineering and scientific teams working on production systems that serve global pharmaceutical and biotech organizations. Their contributions directly support our mission to radically improve and extend human life through Scientific AI. Learn more about TetraScience and see open roles here: https://xmrrwallet.com/cmx.plnkd.in/eWeEHP7

🚀 Big Pharma has bet on Boston and Cambridge—and we're here for it. Global pharmaceutical companies are making massive R&D investments in our backyard:  • 𝗘𝗹𝗶 𝗟𝗶𝗹𝗹𝘆'𝘀 $700M Seaport Innovation Center  • 𝗧𝗮𝗸𝗲𝗱𝗮'𝘀 600K sq ft Cambridge expansion  • 𝗦𝗮𝗻𝗼𝗳𝗶'𝘀 900K sq ft Cambridge Crossing campus  • 𝗠𝗼𝗱𝗲𝗿𝗻𝗮'𝘀 stunning 462K sq ft headquarters  • 𝗩𝗲𝗿𝘁𝗲𝘅'𝘀 1.9M sq ft Seaport presence—the list goes on. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗳𝗼𝗿 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗔𝗜: These pharma giants need sophisticated data infrastructure to maximize their multi-billion dollar R&D investments. AI-enabled drug discovery requires purpose-built scientific data platforms, and Boston's become the epicenter where traditional pharma meets cutting-edge AI. At TetraScience, we're the Scientific Data and AI Cloud company catalyzing this revolution. We're not just witnessing this biotech renaissance—we're powering it by industrializing AI-native scientific datasets. 🎯 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲 𝘁𝗲𝗮𝗺 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗽𝗵𝗮𝗿𝗺𝗮𝗰𝗲𝘂𝘁𝗶𝗰𝗮𝗹 𝗥&𝗗? We're growing our Boston/Cambridge team: 🔬 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 – Work directly with major pharma customers, bridging scientific insights with AI/ML technology ⚗️ 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗗𝗮𝘁𝗮 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘀 – Design data models and build Python solutions transforming pharma workflows 🤖 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 – Deploy models accelerating drug discovery 🛠️ 𝗔𝗜 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 – Build infrastructure powering pharmaceutical breakthroughs We offer 100% employer-paid benefits, unlimited PTO, and the chance to work at the epicenter of Scientific AI innovation. You'll pioneer the Scientific Data and AI Cloud category transforming how leading biopharma companies leverage their data. 👉 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝘁𝗲𝗮𝗺 𝗺𝗮𝗸𝗶𝗻𝗴 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗔𝗜 𝗿𝗲𝗮𝗹𝗶𝘁𝘆: https://xmrrwallet.com/cmx.plnkd.in/eWeEHP7

The future of science depends on professionals who can bridge traditionally separate worlds. We're actively growing our team and seeking top-tier talent to join us as we scale to meet explosive customer demand. Every person who joins our team gets to work on industry-defining collaborations from day one. If you're someone who wants your work to have real impact—we'd love to connect. Check out our open positions: https://xmrrwallet.com/cmx.plnkd.in/eWeEHP7

🌟 Live showcase tomorrow, July 30th at 9am ET (3pm CET) and 1pm ET! 🌟 Tech transfers between departments or sites are rarely smooth, especially when teams rely on different CDSs like Empower and Chromeleon. Without consistent data and context, method validation can quickly go off track. See how the latest tools streamline transfers and protect quality: ➡️ Golden Chromatogram Profiling – Quantify peak deviations across CDSs and sites ➡️ System Usage Monitoring – Get complete visibility into instrument activity ➡️ Automated OOS Detection – Detect anomalies fast with ML-driven alerts Led by our scientists and engineers, the showcases dive into real-world use cases. This isn’t a webinar—it’s a working session. Reserve your spot here: https://xmrrwallet.com/cmx.plnkd.in/ee3dZH9h

The work we're doing at TetraScience is unlike anything else in the industry. We're industrializing AI-native scientific datasets and collaborating deeply with the world's leading biopharma companies to improve how they use scientific data and AI for drug R&D, QC, and manufacturing. We're hiring! Why come over to TetraScience now? Every person who joins our team gets to work on industry-defining collaborations from day one. No waiting years to touch meaningful projects—you'll immediately be contributing to breakthroughs that could accelerate life-saving treatments. We're actively growing our team here in Boston/Cambridge with some compelling roles. We're seeking top-tier talent to join us as we scale to meet explosive customer demand: 🔬 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 – Bridge cutting-edge science with business impact ⚗️ 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗗𝗮𝘁𝗮 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘀 – Design the data foundations for tomorrow's discoveries 🤖 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 – Build AI systems that directly accelerate drug development 🛠️ 𝗔𝗜 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 – Create the infrastructure enabling scientific innovation If you're someone who wants your work to have real impact—where your expertise directly influences how pharmaceutical R&D gets done—we'd love to connect. We're pioneering an entirely new category, and frankly, opportunities like this don't come around often. Check out our open positions: https://xmrrwallet.com/cmx.plnkd.in/eWeEHP7

The UK Research Integrity Office (UKRIO) just released a watershed report on AI in research—and it validates everything we've been saying about the Scientific AI revolution. 🧬 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆: While every pharma CEO talks about AI transformation, most organizations are sleepwalking into a research integrity crisis. 𝗙𝗶𝘃𝗲 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗳𝗮𝗶𝗹𝘂𝗿𝗲 𝗽𝗼𝗶𝗻𝘁𝘀 𝘁𝗵𝗲 𝗨𝗞𝗥𝗜𝗢 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝗱:  → Legal compliance gaps: organizations using AI tools without proper data governance  → Ethical blind spots: AI systems perpetuating bias without human oversight → Research record contamination: fabricated sources and "AI hallucinations" polluting scientific literature  → Transparency failures: researchers publishing AI-generated content without disclosure  → Skills atrophy: over-reliance on AI undermining critical thinking capabilities This isn't just about research integrity. It's about the future of scientific innovation itself. The report's core insight: "𝗔𝘂𝘁𝗵𝗼𝗿𝘀 𝗿𝗲𝗺𝗮𝗶𝗻 𝗳𝘂𝗹𝗹𝘆 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝘂𝗻𝗱𝗲𝗿 𝘁𝗵𝗲𝗶𝗿 𝗻𝗮𝗺𝗲, 𝗿𝗲𝗴𝗮𝗿𝗱𝗹𝗲𝘀𝘀 𝗼𝗳 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝗶𝘁 𝘄𝗮𝘀 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗯𝘆 𝗔𝗜." 𝗕𝘂𝘁 𝗵𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝗿𝗲𝗽𝗼𝗿𝘁 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗮𝗱𝗱𝗿𝗲𝘀𝘀: How do you maintain integrity when your data infrastructure is fundamentally broken? You can't bolt ethical AI practices onto fragmented data silos. You can't ensure transparency when your data lineage is opaque. You can't maintain human oversight when your data scientists spend 80% of their time on data wrangling instead of insights. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝘆 𝘄𝗲 𝗯𝘂𝗶𝗹𝘁 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗗𝗮𝘁𝗮 𝗙𝗮𝗰𝘁𝗼𝗿𝗶𝗲𝘀. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝘆 𝘄𝗲'𝗿𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗦𝗰𝗶𝗯𝗼𝗿𝗴𝘀. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝘆 𝗦𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗔𝗜 𝗺𝗮𝘁𝘁𝗲𝗿𝘀. The organizations that get this right will lead the next decade of scientific discovery. The ones that don't will be relegated to footnotes in the history of failed drug programs and compromised research. The choice isn't between AI and human expertise—it's between AI with integrity and AI without it. What's your organization doing to ensure your AI transformation doesn't become your integrity crisis? See the full report: https://xmrrwallet.com/cmx.plnkd.in/dPh983r4

🌟 Intern Spotlight 🌟 Harrison Adams joins TetraScience's development team as our youngest contributor this summer. Despite being a high school senior, Harrison's experience with LLM implementation and multi-language programming (Python, Java, C, C++) positions him to contribute meaningfully to our Scientific AI platform development. Harrison will work directly on AI applications that help scientists extract insights from complex experimental data. Each of our interns join engineering and scientific teams working on production systems that serve global pharmaceutical and biotech organizations. Their contributions directly support our mission to radically improve and extend human life through Scientific AI. Welcome to the team, Harrison!

Your legacy SDMS isn’t just outdated—it’s a barrier to innovation. TetraScience helps biopharmas migrate decades of siloed data into a modern, AI-ready cloud platform with: ✅ Vendor-agnostic, harmonized formats ✅ Full experimental and instrument context ✅ GxP-compliant, cloud-native architecture Turn archived data into active insight. Read the blog: https://xmrrwallet.com/cmx.plnkd.in/eM4Hewza

There is no better gig than being a TetraScience summer intern! Each of our interns join engineering and scientific teams working on production systems that serve global pharmaceutical and biotech organizations. Their contributions directly support our mission to radically improve and extend human life through Scientific AI. 🌟 Intern Spotlight 🌟 TetraScience welcomes Sameer Chawla to our engineering team. A computer science and statistics student at University of Maryland, Sameer brings data engineering and machine learning expertise to our Scientific AI mission. His background in full-stack development and data analysis directly supports our work replatforming petabytes of scientific data for AI applications. Sameer will contribute to our data engineering infrastructure that processes scientific data from 1,000+ sources across global biopharma organizations. Welcome to the team, Sameer!

📊 5,000+ hours/year = $1M lost. That’s the cost of manual column documentation at large biopharmas. Chromatography Insights removes the burden: ✅ Automate column usage tracking ✅ Generate audit-ready reports instantly ✅ Consolidate data across CDSs This is chromatography—modernized. Read the blog: https://xmrrwallet.com/cmx.plnkd.in/e4D8ucKB