Writing For Biotech Industry

You've engineered bacteria to eat plastic. However, investors just funded a crypto project run by 22-year-olds. You've solved protein folding. VCs are investing in another meal kit startup. You've developed a biomarker that detects Alzheimer's 10 years early. The unicorn this week? An app that reminds you to drink water. This pill is hard to swallow: The bitter truth in biotech: brilliant science rarely attracts funding on its own merit. In other words, the most funded projects aren't necessarily the most scientifically groundbreaking; they're the ones that effectively communicate their value. I've been there. Standing in front of senior management, hands shaking, knowing this one pitch would determine if years of research lived or died. We won first place. Everything changed. Here's what nobody tells you: most brilliant scientists can't pitch. Not because they're not smart enough, but because nobody taught them how to translate genius into dollars. The challenges are always the same: - Making complex science simple without dumbing it down - Competing for attention spans shorter than a TikTok video - Turning "interesting research" into "must-have investment" - Overcoming the dreaded "too risky" death sentence Since that pivotal moment, I've made it my mission to help scientists get the funding they deserve. I've spoken at prestigious conferences, hosted the Smart Biotech Scientist podcast, and worked with dozens of researchers who've gone from rejected to funded. The pattern is always identical: brilliant science + compelling story = investment. Most scientists skip the second part. Here's how to fix it: 1. Start with the problem, not the solution. "Diabetes costs families $300K per patient" hits harder than "We developed a novel biomarker." 2. Use the 10-second rule. If you can't explain your breakthrough in 10 seconds, you don't understand it well enough to pitch it. 3. Show, don't tell. One patient story beats a hundred statistical analyses. 4. Address the elephant early. Every investor is thinking "too risky." Acknowledge it, then crush it with data. 5. Lead with market size, not technology specs. "This affects 50 million patients" gets attention before "Our proprietary algorithm uses machine learning.” The best pitches don't ask for money, but they make investors afraid of missing out. What's your biggest pitching challenge? #Biotech #ScienceCommunication #Fundraising #Innovation #Pitching

Communicating complex data insights to stakeholders who may not have a technical background is crucial for the success of any data science project. Here are some personal tips that I've learned over the years while working in consulting: 1. Know Your Audience: Understand who your audience is and what they care about. Tailor your presentation to address their specific concerns and interests. Use language and examples that are relevant and easily understandable to them. 2. Simplify the Message: Distill your findings into clear, concise messages. Avoid jargon and technical terms that may confuse your audience. Focus on the key insights and their implications rather than the intricate details of your analysis. 3. Use Visuals Wisely: Leverage charts, graphs, and infographics to convey your data visually. Visuals can help illustrate trends and patterns more effectively than numbers alone. Ensure your visuals are simple, clean, and directly support your key points. 4. Tell a Story: Frame your data within a narrative that guides your audience through the insights. Start with the problem, present your analysis, and conclude with actionable recommendations. Storytelling helps make the data more relatable and memorable. 5. Highlight the Impact: Explain the real-world impact of your findings. How do they affect the business or the problem at hand? Stakeholders are more likely to engage with your presentation if they understand the tangible benefits of your insights. 6. Practice Active Listening: Encourage questions and feedback from your audience. Listen actively and be prepared to explain or reframe your points as needed. This shows respect for their perspective and helps ensure they fully grasp your message. Share your tips or experiences in presenting data science projects in the comments below! Let’s learn from each other. 🌟 #DataScience #PresentationSkills #EffectiveCommunication #TechToNonTech #StakeholderEngagement #DataVisualization

On delivering a great conference presentation. Conference presentations are tricky. Whether your content is good or not, may or may not matter. However. Where it is a good presentation or not will open and close doors on your career. And. A bad one, esp. as a senior PhD student, can close minds and doors on the ejob market. So five quick points to consider as you plan your talk. 1. Structure your talk like a SHORT story You have just 15 to 20 minutes. So use a simple structure to describe your research, like this: Hook – A question, puzzle, or surprising insight Background – What we know, what we don’t Research question – The gap you address Method – How you explored it Key findings – What you discovered Implications – Why it matters for research or practice Example: “We wanted to know why remote teams struggle with onboarding. So we interviewed 22 tech firms. What we found challenges how we think about informal mentorship.” 2. Design slides that focus attention on you. One idea per slide. Keep it visual. Define key terms and highlight relevance. Let your voice do the explaining. Example: Instead of pasting your abstract on a slide, show a graph, a quote, or a concept map. 3. Practice, practice, practice Rehearse with time limits. Ask peers to simulate Q&A. Emulate having people come in and out of the room. Example: If your session is 15 minutes, aim to finish in 12. Have a friend play the "skeptical reviewer" in practice and push back on your logic. 4. Deliver with intention Speak slowly and clearly. Make eye contact. Pause for breath. Think before answering questions. Example: Nervous speakers rush. A short pause after your main point helps your audience absorb it—and makes you sound more confident. 5. Respect the room Visit the room before the talk. Know the room layout. Hook up your computer to present. Bring your slides on a USB stick. Finish 1–2 minutes early. Example: If you’re speaking in a hybrid session, arrive early to check audio levels and screen sharing. Even if you are a great speaker, things go wrong. The more prepared you are, the less you will be put off by things going wrong. So. Practice. Build your confidence. Visualize greatness! Then execute. Best of luck! #conference #academicjourney

Most biotech founders don’t fail because their ideas are bad. They fail because their messaging never stood a chance. Not because they didn’t “communicate benefits” clearly. They wrote posts that ignored how people think. As a founder, you’re used to facts, logic, and evidence. But your audience doesn’t read your LinkedIn post like a peer-reviewed paper. They skim. → They filter. → They fill in the blanks. → Then they forget. The Cognitive Bias Codex is one of the best tools I’ve found for writing posts that work with these patterns, rather than against them. Here’s how to apply it: 1️⃣ Catch attention (Too much info): People are overloaded. You need contrast. → Use the bizarreness effect. Start with something unexpected. → Use the Von Restorff effect. Make one idea visually or conceptually stand out. → Use confirmation bias. Start with what your audience believes, then challenge it. 💡 Instead of “Our study shows a 12% increase,” try: “Most device teams think 40% uptake is the limit. Ours hit 52%.” 2️⃣ Build trust (Not enough meaning): People fill gaps with stories. Give them the right one. → Use the narrative bias. Share a decision, failure, or conversation. → Use the halo effect. Mention credible names or data sources. → Break stereotypes. Show something they didn’t expect. 💡 “We thought this device wouldn’t work in elderly patients. It did.” 3️⃣ Prompt action (Need to act fast): Your reader is scrolling. You need to interrupt the autopilot. → Use loss aversion. Show the cost of ignoring your insight. → Use the sunk cost fallacy. Highlight why clinging to outdated methods hurts. → Use the availability heuristic. Reference a recent news item or post. 💡 “Still relying on 2022 data to plan your 2025 trial?” 4️⃣ Boost recall (What do we remember?): You don’t need to be memorable to everyone. Just to the right people. → Use the peak-end rule. Start strong. End clear. → Repeat key phrases. → Tell stories where the smart choice looks obvious in hindsight. 💡 “We bet on the unpopular strategy. It paid off in 3 months.” Most content tries to sound smart. The best content works with how people think. 👉 Which part of the Codex feels most relevant to your work right now? 💬 Let's discuss in the comments. ♻️ Repost for others. ---- 👋 Hi, I'm Sébastien, Founder of Mywebtechcare®. I help life science founders grow visibility, trust, and long-term opportunities on LinkedIn.

Everyone loves a good story. You should be using your data to tell one every chance you get. The importance of narrative in scientific communication cannot be understated. And that includes communication in traditionally technical environments! One thing that gets beaten into you in graduate school is that a scientific presentation is a technical affair. Communicating science is fact based, it's black and white, here's the data, this is the conclusion, do you have any questions? Actually, I do. Did you think about what story your data could tell before you put your slides together? I know this is a somewhat provocative question because a lot of scientists overlook the importance of telling a story when they present results. But if you want to keep your audience engaged and interested in what you have to say, you should think about your narrative! This is true for a presentation at 'The Mountain Lake Lodge Meeting on Post-Initiation Activities of RNA Polymerases,' the 'ACMG Annual Clinical Genetics Meeting,' or to a class of 16 year old AP Biology Students. The narrative doesn't need to be the same for all of those audiences, BUT IT SHOULD EXIST! There is nothing more frustrating to me than seeing someone give a presentation filled with killer data only to watch them blow it by putting the entire audience to sleep with an arcane technical overview of the scientific method. Please. Tell. A. Story. With. Your. Data. Here's how: 1. Plot - the series of events that drive the story forward to its resolution. What sets the scene, the hypothesis or initial observation? How can the data be arranged to create a beginning, middle, and end? 2. Theme - Good vs Evil, Human vs Virus, Day in the life of a microbe? Have fun with this (even just as a thought experiment) because it makes a big difference. 3. Character development - the team, the protein, gene, or model system 4. Conflict - What were the blockers and obstacles? Needed a new technique? Refuting a previous finding? 5. Climax - the height of the struggle. Use your data to build to a climax. How did one question lead to another and how were any problems overcome? 6. Resolution - What's the final overall conclusion and how was the conflict that was setup in the beginning resolved by what you found? By taking the time to work through what story you can tell, you can engage your entire audience and they'll actually remember what you had to say!

You spend months, or even years, building strong research. Then, in the final defense, you unknowingly weaken your own work… because of poor slides. 𝗗𝗼𝗻’𝘁 𝗟𝗲𝘁 𝗣𝗼𝗼𝗿 𝗦𝗹𝗶𝗱𝗲𝘀 𝗨𝗻𝗱𝗲𝗿𝗺𝗶𝗻𝗲 𝗚𝗼𝗼𝗱 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 A thesis defense is not about showing everything you did. It is about showing that you understand your research deeply, can communicate it clearly, and can defend it confidently. 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂𝗿 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 𝗦𝗹𝗶𝗱𝗲𝘀 𝗦𝗛𝗢𝗨𝗟𝗗 𝗜𝗻𝗰𝗹𝘂𝗱𝗲 1. Title Slide Include your research title, your name, degree program, institution, and supervisor (if required). Keep it clean. No unnecessary graphics. 2. Research Background / Context Briefly establish the problem area. Answer: Why does this research matter? 3. Problem Statement This is one of the most critical slides. Clearly show: → What gap exists? → What issue remains unresolved? → Why does it deserve investigation? 4. Research Aim, Objectives, or Questions Present them clearly and concisely. This slide tells the audience where your research is going. 5. Literature Snapshot / Research Gap Do not overload this slide with 20 citations. Instead, synthesize. Show patterns, contradictions, or missing knowledge. A simple table, framework, or thematic visual often works better than paragraphs. 6. Conceptual or Theoretical Framework Show the lens guiding your study. Make it visually understandable. If you need 5 minutes just to explain your framework, the slide needs redesign. 7. Research Methodology Include only what matters: → Research design → Participants/sample → Data collection methods → Analysis approach → Ethical considerations (briefly, if relevant) 8. Key Findings This is where attention peaks. Use: → Charts → Themes → Models → Comparative visuals → Key evidence Make findings easy to follow. 9. Discussion / Interpretation Show what your findings mean. Connect them back to literature, theory, and your research questions. This is where examiners often assess your depth of thinking. 10. Contributions, Limitations, and Future Work Show academic maturity. No research is perfect, and acknowledging that strengthens your credibility. 11. Conclusion End with clarity. Leave your audience remembering your contribution, not your slide design. 𝗪𝗵𝗮𝘁 𝘁𝗼 𝗥𝗘𝗠𝗢𝗩𝗘 ❌ Paragraphs copied from the thesis ❌ Tiny fonts no one can read ❌ Too many colors, animations, and decorative icons ❌ Full statistical outputs/screenshots ❌ Reading directly from slides ❌ Adding every citation from your literature review ❌ Overcrowded tables with unreadable text ❌ 10 bullet points on one slide 𝗥𝗲𝗺𝗲𝗺𝗯𝗲𝗿: The best thesis defense presentations do not try to impress with design. They impress with clarity. And clarity always looks confident. __ Dr. Laraib Abbas, Helping scholars move from confusion to completion #PhD #Research #ThesisDefense #Viva #AcademicPresentation #ResearchStudents #PhDLife #ResearchGuide

🚀 Pitching Deep Tech or Biotech? Here's How Kahneman's System 1 & 2 Can Help You Connect with Your Audience At biotx.ai, we faced a swarm of business consultants, each one insisting we weren’t pitching our tech right. In hindsight, I’m critical—and frustrated—by how much of a waste this was: 1. Every consultant has to tell you they can do it better. If they didn’t, they wouldn’t have a job. It's a built-in sales pitch. 2. Not one of them offered a real strategy. Instead, it was just endless, unfocused rants without any concrete direction. Daniel Kahneman’s System 1 (fast, intuitive) and System 2 (slow, analytical) framework offers a powerful way to structure your pitch to capture attention and build understanding. Here’s how it works: 1️⃣ Start with a Story for System 1 Kick off with a simple, impactful scenario that instantly shows the relevance of your tech. For example: “Imagine a world where cancer patients have access to a single treatment that gives them years more to live.” 2️⃣ Use Visuals to Keep System 1 Engaged Show intuitive graphics that capture your tech's impact—a before-and-after, or a clear comparison against current solutions. Let the audience feel the difference. 3️⃣ Transition to System 2 with a High-Level Overview - that's your #USP Next, lay out a clear, accessible explanation of your tech. For instance: “Our CRISPR-based system targets only cancer cells, reducing side effects and cutting down treatment times.” 4️⃣ Provide Data to Satisfy System 2’s Need for Proof Share results or early data that demonstrate your tech’s potential, like: “In initial trials, recovery time improved by 40% with 30% fewer side effects.” 5️⃣ Use Prospect Theory to Highlight Opportunity Costs Emphasize the stakes: “Without solutions like this, patients endure outdated, less effective treatments. The first to transform this space will lead the field—and redefine outcomes.” 6️⃣ Wrap Up with a Compelling Call to Action Finish by encouraging immediate engagement: “We’re looking for partners who believe in reshaping oncology. Let’s discuss how you can be part of this breakthrough.” Pitching complex ideas is about balancing emotion and logic—capturing hearts and minds. With this approach, you can communicate your tech’s potential in a way that resonates on every level. 🌍💡 #DeepTech #Biotech #Startup #System1and2 #InvestorPitch #DanielKahneman #ProspectTheory

You can't shake the doubt. You've spent weeks on this pitch. It looks ready. But is it really? I've watched biotech founders lose opportunities over shitty slides. A headline that confused instead of connecting. A metric buried where no one could find it. A next step that left everyone wondering what happens after the meeting. The science was solid. The opportunity was real. But the pitch didn't land. Here's what I learned after 100+ deck reviews: A great deck isn't about more slides. It's about being authentic to your story. Your 8-step checklist: #1 Create One Clear Headline Per Slide (not the topic—the takeaway) #2 Make Every Step Visually Obvious (3-5 icons, horizontal) #3 Turn Your Slides Into a Seamless Story (unmet need → insight → commercial fit) #4 Make Every Slide Easy to Read Anywhere (WCAG AA contrast, 28pt minimum) #5 Lead With the Metric That Drives Decisions (ORR, CAGR, whatever moves the conversation) #6 End With a Clear Ask and Next Step (no one should leave confused) #7 Keep Your Language Simple and Clear (save technical depth for speaker notes) #8 Do One Last Polish Pass (delete extras, spell-check, rehearse under 30 seconds per slide) The founders who close rounds don't wing it. They prepare like their company depends on it. Because it does. ________________ 🧠 Save this before your next pitch ♻️ Share if preparation beats improvisation ➕ Follow Michelle for biotech deck insights

When people struggle to understand your words, they assume the problem is you. Not them. You might think complexity makes you sound smarter. It feels necessary. After all, you work in biotech. Precision matters. Accuracy is everything. But research from Princeton professor Daniel Oppenheimer says otherwise. He found something surprising: The more needlessly complex you are, the less intelligent people think you are. You don’t have to dumb things down. You just have to make them clear. Here’s how: 1. Use short sentences. Say what you need to say, then stop. 2. Choose common words. If a seventh grader wouldn’t understand it, reconsider. 3. Explain acronyms. Someone in your audience doesn't know what it means. It takes seconds to tell them. 4. Speak to help, not to impress. Being helpful makes it about them, being impressive makes it about you. 5. Test your message. If someone outside your field doesn’t get it, try again. Because being clear doesn’t mean being simplistic. It means being heard. And in biotech, being heard is how you make an impact.