Imran Khan’s Post

Calling all BIG DATA ENGINEERS!! Off the chart exciting opportunity to bring your tech superpowers to the unchartered frontiers of science. We need a Data Engineering Lead to help us create a next-generation data engine that scalably and rigorously ingests and transforms data generated from this initiative so they are ready for machine-driven analysis.  The Data Engineering Lead will act as an architect and engineering manager tasked to oversee the construction and operation of this data engine.  This data engine will be used to help assemble an exabyte scale connected and computable data universe composed of high-value internally and externally generated data and results that we can build our data science efforts on top of. We invented the Biotech industry over 47 years ago, so going BIG is kind of our thing. #dataengineering #datascience #artificialintelligence #machinelearning #genomics #bigdata #weareroche

⚠️🚨NEW ROLE for a #Bio #Research #Engineer🚨⚠️ If you're passionate about leveraging #machine #learning and cutting-edge technologies to create impactful products, I want to connect with you! I am working with a cutting-edge Biotech, looking to #revolutionise drug discovery through the development of BioAI Software products through modelling cells in-silico, leading to a #deeper #understanding of disease mechanisms. 🫵Want to be part of a groundbreaking team? Check out the details 👇 #LINKEDIN https://lnkd.in/eEUVuAX2 #PHARMIWEB https://lnkd.in/eU-RYPEQ #REMOTE #BioAI #DeepLearning #MachineLearning #BioProducts #MultiOmics #SystemsEngineering

Computer vision in oncology is crucial for developing advanced medical imaging models that help in the non-invasive analysis of cancer, enabling precise diagnosis, monitoring, and treatment planning. Computer vision contributes significantly to personalized medicine and improved patient outcomes by analyzing imaging biomarkers. #oncology #datascience #radiomics #computervision

*ATTENTION TO ALL MY FRIENDS IN THE TECH UNIVERSE* We just had 8 AMAZING opportunities open up that you really should check out. If you've been thinking about taking your tech superpowers over to science, then THIS is your opportunity to be at the epicenter of the paradigm shift in science and medicine...literally. On top of these being amazing opportunities where you can truly make your mark on an entire industry, Ryan Copping is an outstanding leader and visionary. BIOLOGY IS WHERE IT'S AT!!! Link to the 8 postings (4 Function Heads, and 4 Domain Head/Matrix Team Leader positions): https://lnkd.in/drhBkcvq [note: pls search for #gCSCatalysts and all 8 postings should display] #softwareengineering #softwaredevelopment #dataengineering #datascience #bigdata #artificialintelligence #machinelearning #weareroche

📊💊🚀 Data Science: The Heartbeat of Pharmacology's Innovation Rhythm! 🌟 Today, I'm inspired to share a thought that encapsulates the #essence of our data-driven journey in #pharmacology: "Data science amplifies the heartbeat of pharmacology, turning information into the rhythm of innovation." 📈 In our dynamic world, #data_science and pharmacology harmonize beautifully. They're like two musical notes that, when combined, create symphonies of medical progress. Here's why this harmony is so vital: 🔍 Data Science - The Amplifier: Data science takes the raw #data, whether it's molecular structures or patient records, and amplifies their significance. It extracts patterns, identifies outliers, and reveals connections that might have remained hidden otherwise. 🔬 Pharmacology - The Heartbeat: Pharmacology is the pulse of #healthcare. It's the science of healing, the art of creating treatments, and the discipline that brings medications to life. It's the rhythm that guides us in our mission to improve lives. 🌟 The Innovation Rhythm: When data science and pharmacology work together, something magical happens. We transform information into innovation. We discover new drugs, optimize treatment plans, and personalize care like never before. 💡 Our Role: Whether you're a data scientist crunching numbers or a pharmacologist in the lab, you're part of this symphony of innovation. Your work matters. Your contributions matter. You're creating the melodies of progress. 🚀 The Future: As we move forward, let's remember the power of this collaboration. Let's keep pushing the boundaries of what's possible. Together, we're not just amplifying heartbeats; we're saving lives and shaping a healthier world. So, as you navigate your data-driven journey in pharmacology, let this thought resonate: Every analysis, every experiment, every discovery is a note in the symphony of healthcare innovation. 🎶🏥 #DataScience #Pharmacology #Healthcare #DataDrivenInsights #MedicalProgress #Innovation #Pharma

🚀 Virtual Screening of Compound Data using Streamlit and Snowflake Notebooks 🌐 Snowflake's high-performance computing resources enable powerful in silico drug discovery. In this post, I explain how to leverage Streamlit and Snowflake Notebooks for this purpose. 🌟 When new drug candidate compounds are published in patents or papers, it's crucial to identify more promising similar compounds. In this example, we screen for compounds similar to the neuraminidase inhibitor "Laninamivir," used for treating influenza, from the ZINC DB database. We pick the top 10 compounds with the highest similarity using the Tanimoto coefficient. 🔬 🤖Benefits of Using Snowflake for In Silico Drug Discovery Utilization of Machine Learning Frameworks With frameworks like Snowpark ML, complex infrastructure setup and local environment configurations are unnecessary. Snowflake automatically scales, accommodating large datasets and complex ML model training. Users can expand resources as needed, maximizing computational power. 📊 Efficient Management of Large Compound Datasets Snowflake allows for centralized management of large datasets and biological data essential for drug discovery. This enhances data visibility, enabling researchers to quickly access necessary data. Additionally, Snowflake's powerful query engine facilitates fast search and filtering of vast compound datasets. 💡End-to-End Analysis with High-Performance Computing Resources Using Snowpark Container Service, you can perform molecular dynamics (MD) simulations, docking simulations, 3D structure predictions of proteins, and stereoscopic visualization of molecular structures with PyMOL. This enables end-to-end execution of complex computational simulations, making it possible to handle high computational loads. Embrace the power of Snowflake for efficient and scalable in silico drug discovery! 💪🔍 Read the full article to dive deeper into the techniques and benefits of using Snowflake for Drug Discovery: https://lnkd.in/gk6siaWX #InSilico #DrugDiscovery #Snowflake #Streamlit #VirtualScreening #MachineLearning #Bioinformatics #Healthcare #SnowflakeSquad

Are you part of the 54.5% club? In this club 54.5% of respondents shared that their organizations aim to reduce ML model deployment time by at least 25% over the next 12 months. If you know your WHY and WHAT and are still missing the "HOWs" like: 1. How to shorten model deployment times from weeks to one day (or hours) 2. How to avoid hiring more developers to maintain your infrastructure and deployments? You need to check out the story of the Lifebit team doing exactly that with Valohai: https://lnkd.in/ddgGmevP “We used to have an engineer or two allocated to support deploying models. With Valohai, anyone on the team can deploy independently. The reduction in overhead is immense.” - says Rishabh Shukla, Lead ML engineer at Lifebit. Lifebit is a genomics and bioinformatics company that uses #MachineLearning to help data custodians make their data findable and usable for data consumers.

Senior Manager / Director, Small Molecules Machine Learning insitro The Opportunity Insitro's mission is to bring better drugs faster to the patients who can benefit most, through machine learning and data at scale. A key part of that mission is to rapidly identify safe and effective molecules that modulate novel targets that emerge from our biology discovery engine. Towards that goal, we have been building a cutting-edge, machine-learning-enabled capability to design and optimize small molecule therapeutics. Our work is enabled by proprietary experimental capabilities, including: generation of extensive binding, selectivity and affinity data via our second generation DNA-encoded library (DEL) platform; rapid synthesis to assay; ML-enabled measurement and analysis of high-content cellular phenotypes driven by small molecule perturbations; and the enablement of active learning via internal lab capabilities and extensive automation. In this role, you will collaborate with our world-class teams in drug discovery, software engineering, lab automation, ... See the full job description on illbeback: https://lnkd.in/ef2HH5DW #AI #ML #AIJobs #AITalent #hiring #Leadership #...

Johnson & Johnson is making one of the biggest bets in the #healthcare industry on using data science and artificial intelligence to bolster its work. The 137-year-old pharmaceutical and medical-device company has hired 6,000 #data scientists and #digital specialists in recent years, and spent hundreds of millions of dollars on their work, such as using machines to scour massive #health-record datasets. Last year the company opened a state-of-the-art research site near San Francisco that houses advanced data science. Some early efforts focus on diagnostics, like an algorithm that analyzes heart tests to spot a deadly type of high blood pressure much sooner than humans can, and voice-recognition technology to analyze speech for early signs of Alzheimer’s disease. There’s a virtual-reality goggle set to help train surgeons on procedures like knee replacements.   The long game, though, is a goal that has seen a lot of hype but less concrete proof that it will become a reality: using AI for drug discovery.  #datascience #artificialintelligence #ai #strategy

Welcoming a pool of CTO, CIO, SVP, VP & Global Heads responsible for IT, Data Sciences & R&D from from 100 pharma and mid sized to small biotechs in Boston on the 6th November for the Bioinformatics & IT Strategy Meeting. Landing in November alongside a capped number of premium partners such as... Pure Storage Excelra, Hammerspace, Revvity Signals, Zifo,  Kanda Software, Rancho BioSciences, Seqera & Flywheel.io Proventa International #ThoughtLeadership #KeyStakeholders #Boston #Pharma #Biotech #PrivateRoundtableDiscussions #DigitalTransformation #Storage #GenerativeAI #DataScience #BigData #Analytics #DataIntegration #MachineLearning #IT #TranslationalInformatics #DataManagement #ELN #Automation #LIMS Feel free to connect with one of our partners if you are a pharma/biotech seeking a more streamlined approach to accelerate workflows, analysing large genomic datasets or are looking to overcome the complexity of scientific data scattered across different locations and formats from your teams on standalone projects.