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#Bioinformatics Reel by @bioinfphd - Wondering what to do after a bioinformatics degree? Here's a few ideas that allow you to utilise your skills in various different industries!

Note: t
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BI
@bioinfphd
Wondering what to do after a bioinformatics degree? Here’s a few ideas that allow you to utilise your skills in various different industries! Note: this is not an exhaustive list, it’s just a starting point to give ideas of what you could do! #phdlife #phd #phdstudent #coder #bioinformatics
#Bioinformatics Reel by @careerwithabhishek (verified account) - Futuristic PCB careers unlock high-growth global opportunities for Class 12 students who want to build impactful careers beyond conventional medical p
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@careerwithabhishek
Futuristic PCB careers unlock high-growth global opportunities for Class 12 students who want to build impactful careers beyond conventional medical pathways. Today, PCB students are driving innovation across biotechnology, genetic engineering, neuroscience, regenerative therapies, bioinformatics, environmental sustainability, and advanced healthcare research ecosystems worldwide. This post on futuristic PCB careers helps learners understand where global demand is expanding, which countries are investing heavily in life sciences and health innovation, and how to strategically plan education pathways for long-term relevance and international exposure. If you’re a PCB student thinking beyond NEET and traditional MBBS routes, this is where future-ready career planning begins.
#Bioinformatics Reel by @biohub (verified account) - New AI drop 🚨 Say hello to GREmLN - a breakthrough model that helps scientists decode how cells make decisions.

If you think of cells like tiny comp
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@biohub
New AI drop 🚨 Say hello to GREmLN — a breakthrough model that helps scientists decode how cells make decisions. If you think of cells like tiny computers, they are powered by a complex gene network. GREmLN learns from gene interactions giving researchers a clearer view of how cells function, adapt and sometimes develop diseases like cancer. GREmLN is a stepping stone toward our grand challenge to build an AI-based virtual cell model and harness the immune system for early detection, prevention and treatment of disease. GREmLN will help researchers map the complex instruction sets that guide immune cells like T cells and macrophages, and show how to reprogram them to fight cancer, autoimmune conditions, or infection.  NY Biohub President Andrea Califano and Mingxuan Zhang, a grad student in his lab at @columbiamed, led the research – with additional support from CZI’s AI Science teams. 🚀 🎉  You can learn more in @chanzuckerberginitiative’s latest blog post, link in bio. #AI #SingleCell #scRNAseq #Bioinformatics #FoundationModels
#Bioinformatics Reel by @labskillsacademy - Biotech careers that don't need a lab 👇

Not all biotech jobs happen at the bench, here are roles you can do remotely:

1) Bioinformatics / Computati
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@labskillsacademy
Biotech careers that don’t need a lab 👇 Not all biotech jobs happen at the bench, here are roles you can do remotely: 1) Bioinformatics / Computational Biologist: Analyze DNA, proteins, and other biological data using computers to help discoveries happen faster. 2) Biostatistician / Data Scientist: Use statistics and coding to make sense of clinical trial data and predict outcomes. 3) Clinical Data Specialist: Organize and validate medical and research data to keep studies accurate and compliant. 4) Regulatory Affairs Specialist: Make sure biotech products meet government regulations and get approved for use. 5) Medical Writer / Science Communicator: Turn complex research into clear reports, articles, or educational content. 6) Remote Lab Consultant / Project Manager: Guide experiments, manage teams, and keep projects on track (remotely). 7) Quality Assurance / Compliance Analyst: Check processes and protocols to make sure everything meets standards. 8) Tech Sales: Sell lab equipment, software, or biotech services to companies worldwide. 9) Commercialization Specialist: Plan and launch new biotech products, from research to market success. 10) Business Development Specialist: Identify new opportunities, partnerships, and revenue streams for biotech companies. 11) Biotech Consultant: Advise companies on strategy, operations, or regulations to help them grow efficiently. You don’t always need a lab coat to work in biotech. Hi, I’m your friend in STEM Marie 👋 I give you biotech career insights to help you navigate your STEM career 💕
#Bioinformatics Reel by @jeans.scenes (verified account) - I put up a poll asking wet lab vs dry lab and most of you picked wet lab. Wet lab is hands-on so think of following a protocol and working with pipett
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@jeans.scenes
I put up a poll asking wet lab vs dry lab and most of you picked wet lab. Wet lab is hands-on so think of following a protocol and working with pipettes, samples, etc. Dry lab is more data-driven with code, analysis, and bioinformatics at the forefront. Been deep in exams and lab lately, so sharing what that looks like in school ✨ #lab #uni #studentlife #stem #biotech
#Bioinformatics Reel by @aammartufail - 🌟 Want to master Bioinformatics? 🌟 In this video, I'm diving into the essential skills every Biological Data Scientist should learn to get started w
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@aammartufail
🌟 Want to master Bioinformatics? 🌟 In this video, I’m diving into the essential skills every Biological Data Scientist should learn to get started with Bioinformatics! 🧬 Key Skills You Need: 1️⃣ Python - for data analysis & automation 2️⃣ R Programming - for statistical analysis 3️⃣ Unix/Linux Command Line - for file management and processing 4️⃣ Statistics & Interpretation - to analyze biological data effectively 📊 These are the core skills that will set you on the path to mastering Bioinformatics. It’s all about analyzing biological data and transforming it into meaningful insights! 💻🔬 👉 Start Learning Now! 🔗 Python Course: Python 101 Crash Course for Beginner Data Scientists | Learn Python in Urdu/Hindi (12 Hours) https://youtu.be/glFfZcxwhtE 🔗 R Course: R Programming Crash Course (11h 55m) | Learn R with Dr Aammar Tufail | Urdu/Hindi https://youtu.be/yejGKijmZ6I 🔗 Statistics Course: Statistics for Data Analytics and Data Science Complete Crash Course for Beginners in Urdu/Hindi https://youtu.be/9jkFZPI5puo 🚀 Follow Codanics on WhatsApp for more updates: https://whatsapp.com/channel/0029Va7nRDq3QxRzGqaQvS3r Start learning Bioinformatics and build the skills that top data scientists use every day! 💥 🔍 #Bioinformatics #DataScience #LearnBioinformatics #PythonForDataScience #RLearning #DataScienceSkills #BioDataScience #StatisticsForDataScience #DataAnalytics #LearnInUrdu #BioinformaticsForBeginners #WhatsAppLearning 🧩 bioinformatics, data science, python, R programming, unix/linux, statistics, bioinformatics skills, data analytics, python for bioinformatics, bioinformatics courses, learn bioinformatics, data science skills, data science Urdu, statistics for beginners, coding for biology, bioinformatics basics, coding in Urdu, data analysis for beginners
#Bioinformatics Reel by @python_for_bioinformatics - Did everything in Python…
then said goodbye
because the plots weren't "publication-ready"

#bioinformatics #python #rprogramming #datavisualization #d
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@python_for_bioinformatics
Did everything in Python… then said goodbye because the plots weren’t “publication-ready" #bioinformatics #python #rprogramming #datavisualization #dataanalysis
#Bioinformatics Reel by @thephdstudent (verified account) - Programming book recommendation for anyone who wants to actually understand how code works - not just memorise syntax 👩🏽‍💻📖🧠

✨ It teaches progra
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@thephdstudent
Programming book recommendation for anyone who wants to actually understand how code works — not just memorise syntax 👩🏽‍💻📖🧠 ✨ It teaches programming through visual thinking, not just theory ✨ Helps you build intuition for modelling real-world systems, not just toy examples ✨Perfect for anyone read to learn how to code 📌 Programming 101: Learn to Code with Processing Using a Visual Approach (2nd edition) — Janine Meyer 💭 Summary: This book uses the Processing language to teach core programming concepts through visuals and interactive examples. It’s especially powerful if you think visually or want to connect coding with creativity, science, and problem-solving. If you’re early in your coding journey and want to build real understanding, this is a great place to start 🤍 📌Save this for later — I’ll be sharing more recommendations soon. ps: don’t forget to get the free ebook online! #womeninstem #pythonprogramming #javaprogramming #tech #bioinformatics
#Bioinformatics Reel by @_sukhraj._.singh_ - Two different worlds 🫩 but same struggles 😮‍💨

#phdlife #phdstudent #wetlab #drylab #bioinformatics
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@_sukhraj._.singh_
Two different worlds 🫩 but same struggles 😮‍💨 #phdlife #phdstudent #wetlab #drylab #bioinformatics
#Bioinformatics Reel by @manisha_careercounsellor - Not every biology student is meant to become a doctor-and that's okay.

In this video, we explore Bioinformatics, one of the most powerful and high-pa
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@manisha_careercounsellor
Not every biology student is meant to become a doctor—and that’s okay. In this video, we explore Bioinformatics, one of the most powerful and high-paying career options for biology students. This field combines biology, data science, and mathematics to decode DNA and solve complex medical problems that traditional medicine cannot. From top courses in India (BSc + MSc Bioinformatics) to global universities like Harvard, Stanford, and UC Berkeley, and career opportunities in pharma companies, research labs, and even tech giants like Google and Amazon—this is a future-proof career with massive growth potential. If you love biology but want something beyond MBBS, this might be your perfect path. #Bioinformatics #CareerOptionsAfter10th #BiologyCareers #FutureCareers #CareerGuidance
#Bioinformatics Reel by @phdwithgrace_ - Want to be competitive in the job market with a degree in bioinformatics? Follow these 10 steps to stand out amongst other candidates when applying to
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@phdwithgrace_
Want to be competitive in the job market with a degree in bioinformatics? Follow these 10 steps to stand out amongst other candidates when applying to jobs. As a proper bioinformatician you should be skilled at least at one programming language like R, Python, Perl, Java or C. Better if you know more than one of them as some things are easier to do in R whereas other will work much faster when implemented in Java or C. If you’re looking into pursuing a bioinformatics degree, you need to find a course that covers at least one scripting and one object oriented programming language. With such skills you’ll be able to create stand-alone software, tools to visualize large datasets, pipelines (which are commonly used in biological data analysis) that are efficient, reliable and easy to modify. #rnaseq #bioinformatics #phdstudent #programminglanguages

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