Paul Smyth’s Post

The AI/ML Sequence Learning Team at GSK applies #machinelearning and #AI methods to biological sequence (DNA, RNA, protein) data from large-scale #humangenetics, #functionalgenomics, and #singlecell experiments. Models operating directly on sequence data that can infer how variants alter protein/RNA abundance, structure, and function have the potential to be transformative in #drugdiscovery, empowering the development of new life-saving medicines. The team is looking to hire an experienced #ML Engineer experienced with biological data (e.g., #genomics, #transcriptomics, #epigenomics, #proteomics) and shipping stable, tested, performant code in an agile environment to bring this vision into reality. Please apply directly through the posting below! #pharma #pharmaceutical #pharmaceuticals #pharmajobs #rnastructure #rnafunction #drugdevelopment #mlengineer #mlengineering #softwareengineer #softwareengineering #healthcare #python #careeropportunities #computerscience #appliedmath #proteinsequencing #likeandshare https://lnkd.in/e8-QaSpr

With over 45 years in India, this pharma giant integrates AI into every step of drug development, from discovery to clinical trials. Learn how AstraZeneca's cutting-edge AI tools, like AZ ChatGPT and the Biological Insight Knowledge Graph, are revolutionizing the industry. Plus, get a peek into their inclusive work culture and hiring process. Discover more about AstraZeneca's AI operations and career opportunities! Read the complete data science journey to learn more Link in the comments below 👇 Arun Maria | Govind Rajith Cheramkalam | Anuradha Kumar

🔬🚀 Exciting Times Ahead: Top 5 AI & ML Trends in QA/QC for Life Sciences! 🤖💡 In the ever-evolving world of Life Sciences, Quality Assurance and Quality Control (QA/QC) are undergoing a transformative AI & ML revolution. Here are the top 5 trends shaping the future: 1️⃣ Predictive Analytics: AI models are now predicting quality issues before they arise. By analyzing historical data, we can preemptively address potential problems, ensuring product integrity and safety. 2️⃣ Automation Everywhere: ML-driven automation is streamlining QA/QC processes. From data analysis to inspections, automation enhances accuracy and efficiency, reducing human error. 3️⃣ Real-Time Monitoring: AI-powered sensors and analytics provide real-time insights into manufacturing processes. This instant feedback loop allows for immediate adjustments, minimizing defects. 4️⃣ Regulatory Compliance Assurance: AI algorithms are ensuring that products meet evolving regulatory standards. This proactive approach reduces compliance risks and expedites approvals. 5️⃣ Data-Driven Decision-Making: ML's ability to analyze vast data sets enables data-driven decision-making. It identifies trends, patterns, and optimization opportunities, facilitating smarter choices. By embracing these trends, we are not only elevating product quality and safety but also driving efficiency and innovation in the Life Sciences industry. Contact us for more details Feel free to reach out to me just by writing YES in message Note: All trademarks, logos, and brand names are the property of their respective owners 🌐🔍 #AI #MachineLearning #QAQC #LifeSciences #QualityAssurance#QualityControl #Innovation #Healthcare #FutureOfQAQC Vilas Bendre Vilas Patil Sethu Madhavan Sanjiv Gossain Kunal Pandharpurkar Kunal Pradhan Emcure Pharmaceuticals Limited Lupin Pharmaceuticals Lupin Lupin India Wockhardt Ltd. Wockhardt UK GSK Pizer Inc Johnson & Johnson Merck Life ScienceMerck Group Abbott Biogen Bio-Rad Laboratories Biocon Serum Institute of India Pvt. Ltd. Sunpharma Prohance Glenmark Pharmaceuticals Glenmark Life Sciences Glenmark Philippines Inc. AstraZeneca Pfizer Roche Roche Türkiye Novartis Novartis India Novartis México Novartis US Novartis Canada Novartis Nederland - Neuroscience Sanofi Amgen Amgen Deutschland Amgen Netherlands

🌟 Exciting Developments from Google in Healthcare! 🌟 Google has unveiled TX, an advanced large language model (LLM) dedicated to drug discovery and therapeutic development! 🚀 🔍 Key Highlights: Purpose: TX aims to revolutionise drug discovery and therapeutic development using state-of-the-art AI technology. Capabilities: This LLM is designed to accelerate the identification and development of new drugs, potentially transforming the landscape of healthcare and pharmaceutical research. Innovation: By leveraging AI, TX can analyze vast datasets, predict molecular interactions, and streamline the R&D process, making drug discovery more efficient and effective. 🧠 Why It Matters: Efficiency: TX can significantly reduce the time and cost involved in bringing new drugs to market. Impact: This innovation has the potential to address unmet medical needs, offering new hope for patients with challenging conditions. Collaboration: Google's move highlights the growing synergy between technology and healthcare, paving the way for groundbreaking advancements in medical science. 🌐 Looking Ahead: The integration of AI in drug discovery is a game-changer, promising faster development cycles, personalized therapies, and improved patient outcomes. TX represents a major step forward in this exciting journey.🌟💊🧬 #Google #AI #DrugDiscovery #TherapeuticDevelopment #HealthcareInnovation #Pharmaceuticals #TechInHealthcare #LLM #MachineLearning #MedicalResearch #FutureOfHealthcare #TXModel #Biotechnology #HealthTech

GenAI is certainly not just a buzz word anymore, with it's impact already being seen in the workplace. It brings great opportunities to those who embrace it. Happy to share that I have just completed the first part (out of 3) of the AstraZeneca Generative AI Accreditation Programme 2024 - and hence received a Bronze accreditation. This certificate is issued by AstraZeneca to colleagues who have completed a series of activities designed to increase awareness and readiness to use generative AI tools, and is just one example of its commitment to lifelong learning. It should not be used as evidence of technical data science or AI expertise.  Learn more about this initiative here: https://lnkd.in/em6D-M6Y #AZProud, #GenerativeAI, #Lifelonglearning

Article | Pharmacovigilance and Digital Transformation: Growing Role of Technology With the increased focus on the accelerated drug approvals and the massive amount of data generated on a daily basis, it is difficult to imagine that pharmacovigilance will remain in the periphery of digital transformation. Read more about this topic in our article 👉 https://zurl.co/msdJ Discover major technologies that are influencing the pharmacovigilance strategy such as: Big Data Natural Language Processing Cloud #pharma #pharmacovigilance #lifescience #digitaltransformation #technology

Are you using automation or AI tech in Safety? In our upcoming webinar, Updesh Dosanjh and other IQVIA experts will explore how automation can be combined into a Safety System to improve quality, demonstrate how Optical Character Recognition and Extraction works, and show how NLP and Auto-Narratives can be implemented. Register now for: Safety Surveillance - Reducing Cost and Increasing Quality with Automation https://bit.ly/44rgW6C #PatientSafety #AI #drugsafety #pharmacovigilance

Join our upcoming webinar and hear from Updesh Dosanjh about how automations are being leveraged in current Safety Systems.

Adapting to change: How ZS uses tech to help medical affairs excel Pharmaceutical companies are increasingly looking to medical affairs to help shape the market so that patients receive the therapies that deliver the best outcomes. Many medical affairs professionals may wonder how their resource-constrained teams can pursue so many new objectives when their longtime, important work remains. We believe AI, machine learning and data-driven technologies from ZS have the potential to automate repetitive tasks, augment interactions and solve critical challenges (see our interactive graphic). ZS #MedicalAffairs #AI #ML #MedicalEvidence #R&D Access to the full Point of view: https://lnkd.in/eCG7FZww

With AI comes change, excitement and challenge. As I love all three, I embraced the opportunity to accelerate my upskilling and am proud to have just received a Silver accreditation for completing the AstraZeneca Generative AI Accreditation Programme 2024. This certificate is issued by AstraZeneca to colleagues who have completed a series of activities designed to increase awareness and readiness to use generative AI tools, and is just one example of its commitment to lifelong learning. It should not be used as evidence of technical data science or AI expertise. Learn more about this initiative here: https://lnkd.in/epbAMzHA #AZProud, #GenerativeAI, #Lifelonglearning