Writing For Biotech Industry

Having great data is table stakes. But great data means nothing if stakeholders can't easily grasp your progress. Clear comms separate funded/partnered biotechs from those still pitching. In biotech, compelling data is a precursor to getting deals done. But it’s still humans at the heart of those deals. Securing financing or pharma partnerships ultimately comes down to humans making decisions…and humans need clarity, not complexity. The key is leading with the high-level view. Before diving into detailed analyses, show stakeholders the "red, yellow, green" status across your pipeline. Let them see where you stand, then allow them to drill into the specific data points that matter for their decision. What we hear from our partners at Kaleidoscope is that taking this approach serves two critical functions: it gives decision-makers confidence in the big picture, and it provides the team with a clear framework to communicate wins and address challenges. The goal of data should be to drive alignment and informed decision-making, without overwhelming everyone with information they can't process.

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!

Hints on how to run a 3-minute award-winning Presentation Style of your research defense Prepare your introduction, problem statement, gaps to results to be captivating, clear, and memorable, especially for competitions or final presentations Here are direct steps to craft a compelling 3-Minute Thesis (3MT) award-winning presentation: 1. Hook (0:00–0:30) - Start with a powerful story, question, or statistic that connects your research to real life. 2. Problem (0:30–1:00) - Clearly explain the research problem in simple, relatable terms. 3. Solution (1:00–1:30) - Describe your research purpose and what you're doing to solve the problem. 4. Impact (1:30–2:30) - Show the significance of your findings. - Who benefits? Why does it matter? 5. Conclusion (2:30–3:00) - End with a memorable closing line that ties back to your hook and emphasizes your research’s importance. Example: “Good morning. Imagine you’re a rural farmer who just harvested fresh vegetables after months of hard work. But within 48 hours, most of it spoils - not because of poor farming, but because you have no cold storage, no electricity, and no way to transport it fast enough. That’s not fiction. That’s the reality for thousands of farmers across developing regions like Nigeria. And it’s not just their loss; it’s a blow to national food security, nutrition, and economic growth. This is the problem that sparked my research. I asked: Why are cold chain systems failing in these settings, and what can we do to improve their performance? To answer this, I examined four key drivers: 1. Technical infrastructure, 2. Energy and environmental resilience, 3. Human and organisational capacity, and 4. Information and technological systems. But it’s not just about equipment or data, it’s also about who owns the system, what policies support it, and how organisations adapt in times of disruption. So, I introduced a model that doesn’t just analyse performance, it considers organisational context, and adds a feedback loop through dynamic capabilities, showing how cold chains can learn and adapt over time. In essence, my research offers more than analysis; it offers a pathway toward more resilient, efficient cold chains that can save food, improve livelihoods, and support sustainable development. Because in a world facing climate uncertainty and food crises, we can’t afford for good harvests to go to waste.” Tips: - Be clear and direct, use no jargon. - One static slide only. - Speak slowly, camly, and with passion. - Practice timing and delivery with confidence. Find insightful? follow Dr. Blessing Osaro-Martins for more research guide #research #presentation #conference #defense

🧩 How to craft a clear message for different audiences You’re not vague. You’re just too close to the science. That’s the trap: you know your work inside out—but the people who need to understand it... don’t. → Investors tune out. → Talents move on. → Stakeholders stay confused. Not because your project lacks impact. But because your message lacks clarity. Why clarity beats complexity in 2025? In life sciences, you're speaking to five very different audiences every week: → Scientists → Investors → Partners → Talent → Policymakers or patients Each one speaks a different language. Each one needs a different angle to care. 📊 According to the 2025 Edelman Trust Barometer, 73% of decision-makers in health and biotech say “message clarity” directly impacts whether they choose to fund, join, or support a company. So, here’s the mindset shift: You don’t need to simplify your work. You need to translate it. 🎯 One core message, multiple entry points You can’t say the same thing the same way to everyone. But you can say the same thing strategically. Break down your message like this: 1. Core idea → What is the one key thing you want people to remember? Think impact, not features. “We accelerate rare disease research” is better than “We do AI-based omics analysis.” 2. Tailored framing For each audience, ask: ‣ What do they care about? ‣ What language do they speak? ‣ How does this tie back to their goals? 3. Context matters → An investor needs to know why now. → A scientist needs to know what’s new. → A policymaker needs to know who’s affected. Same message, three framings. 🧠 Keep it short, sharp, and sticky Here’s a structure that works across formats (email intros, pitch decks, LinkedIn posts, podcasts). ‣ 5 seconds: Who you are + what you do ‣ 30 seconds: Context + why it matters ‣ 60 seconds: Proof, results, or real-life example People remember clarity. Not complexity. ✅ Quick checklist to refine your messaging 🔲 Can you explain what you do in under 15 words without acronyms? 🔲 Do you have one version of your message per key audience? 🔲 Do your LinkedIn posts match your pitch deck tone and clarity? 🔲 Are you sharing examples, not just ideas? If not, it's time to refine. You’re not just building trust. You’re building positioning. 🔄 Clarity isn’t static. Revisit, rewrite, repeat. The market shifts. Your science evolves. Your role grows. So should your message. Great CEOs don’t just lead innovation. They lead communication. Want help turning your scientific message into clear, strategic positioning? 👉Let’s connect. ---- 👋 Hi, I am Sébastien — Founder of Mywebtechcare®. I work with founders and executives in the life sciences to clarify their messages and grow their visibility without dumbing them down.

It's the presentation that seals the deal for most #pharma interviews. A recent PharmD I worked with proved this (and signed her offer yesterday in a neuro MSL role). She avoided common mistakes and impressed the panel- receiving unanimous positive feedback on her presentation. What SPECIFICALLY did she avoid? 1️⃣ Skipping smooth transitions—she guided her audience seamlessly from one idea to the next. 2️⃣ Forgetting an agenda slide—she set expectations right from the start. 3️⃣ Missing the "so what?"—she explained why her findings mattered. 4️⃣ Ending without a strong conclusion—she left them with clear, memorable takeaways. 5️⃣ Confusing visuals—she oriented the panel to every chart and graphic. 6️⃣ Reading from notes—she practiced until she could present with confidence and eye contact. 7️⃣ Struggling with Q&A—she stayed calm, rephrased tough questions, and answered with focus. Your science can win them over—make sure your presentation does, too. What additional tips do you have for those prepping for their scientific presentation? #pharma #biotech #medicalscienceliaison #medicalaffairs

Without fail, every one of my science and industry presentations includes these 5 components. They aren’t rocket science, but they make a big difference. 1️⃣ An outline. People need to know what direction you’re taking with the presentation. The outline should be built using no more than 5 key topics and maximum 2 to 3 sub points. Continue to refer to the outline throughout the presentation so people know where they are. No one ever walked away from a presentation and said “Dang, that flowed too well.” 2️⃣ Great graphics. If there’s a concept or summary point that can be put into a graphic instead of words, you better believe I’m building it. Having this graphic draws the eye, improving engagement while also allowing me to be flexible in how I summarize the concept. 3️⃣ Bullet points. You’re probably like “Ok, no duh Bethany.” But hear me out - we need to be more critical about what a bullet point actually is. It should be a blunt highlight of key content, easy to read and digest. The bullet point shouldn’t be a complete paragraph or even a full sentence. As Kevin from The Office says “Why waste time say lot word when few word do trick?" 4️⃣ Data - but limited! I think we can overuse figures and tables from research papers, especially if they don’t stand alone well on a slide. Any data that is being shared needs to be quickly described for reference points (“This is what the x and y axis represent.”) and what the audience should take from it (“I want to draw your attention to these values here because they make my point.”). If explaining these two portions is challenging or takes too long while you practice, they shouldn’t be in the presentation. 5️⃣ Summary slide. This will looks slightly like the outline but will cover more “big picture” final thoughts. When my audience walks away from my presentation, I want them thinking about the 3 to 5 main concepts I shared in the summary. What did I miss, my fellow communicators? Share your thoughts below! #presentations #communication #science #sciencecommunication #agcommunication #speaker #speaking #publicspeaking

🧭 𝑷𝒉𝒂𝒔𝒆 5 𝒐𝒇 𝒕𝒉𝒆 𝑹𝒆𝒔𝒆𝒂𝒓𝒄𝒉 𝑱𝒐𝒖𝒓𝒏𝒆𝒚: 𝑷𝒖𝒃𝒍𝒊𝒔𝒉𝒊𝒏𝒈 & 𝑷𝒓𝒆𝒔𝒆𝒏𝒕𝒊𝒏𝒈 𝑹𝒆𝒔𝒆𝒂𝒓𝒄𝒉 🎤 𝗛𝗼𝘄 𝘁𝗼 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻 𝗜𝗺𝗽𝗮𝗰𝘁𝗳𝘂𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 – 𝑇𝑖𝑝𝑠 𝑓𝑜𝑟 𝑎 𝐶𝑜𝑚𝑝𝑒𝑙𝑙𝑖𝑛𝑔 𝑇𝑎𝑙𝑘 You’ve completed your research. Now comes a critical moment: 𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗶𝗻𝗴 𝗶𝘁 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆. Here are key tips I give my research students to make their presentations compelling and professional: 𝟭. 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗙𝗼𝗹𝗹𝗼𝘄 𝘁𝗵𝗲 𝟯-𝗽𝗮𝗿𝘁 𝘀𝘁𝗼𝗿𝘆: - What’s the problem? Why does it matter? - What did you do and find? - What does it mean? What’s next? 𝟮. 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝗬𝗼𝘂𝗿 𝗦𝗹𝗶𝗱𝗲𝘀 - One core idea per slide - Use visuals instead of walls of text - Avoid clutter—less is more 𝟯. 𝗠𝗮𝗸𝗲 𝗜𝘁 𝗩𝗶𝘀𝘂𝗮𝗹𝗹𝘆 𝗔𝗽𝗽𝗲𝗮𝗹𝗶𝗻𝗴 - Consistent fonts, colors, layout - Use charts, infographics, and icons - Avoid unnecessary animations or clipart 𝟰. 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗬𝗼𝘂𝗿 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 - Rehearse aloud - Stick to time limits - Prepare for questions—they show interest, not interrogation 𝟱. 𝗧𝗲𝗹𝗹 𝗮 𝗦𝘁𝗼𝗿𝘆 Make your presentation memorable by guiding your audience through your research journey. Bring clarity, passion, and purpose to your voice. 🎯 Your research deserves to be heard and understood. 📌 𝗙𝗼𝗹𝗹𝗼𝘄 𝗺𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗹𝗮𝘀𝘁 𝘀𝘁𝗲𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗳𝗶𝗻𝗮𝗹 𝗽𝗵𝗮𝘀𝗲 𝗰𝗼𝗺𝗶𝗻𝗴 𝘀𝗼𝗼𝗻: 𝗧𝗵𝗲 𝗙𝗶𝗻𝗮𝗹 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗖𝗵𝗲𝗰𝗸𝗹𝗶𝘀𝘁 #ResearchJourney #AcademicPresentation #ThesisDefense #ResearchCommunication #LaraibGuides #PublishingResearch #PhDLife #PresentationTips

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

Ever watched eyes glaze over during your data presentation? All that beautiful math—missed the real question: "What should we do next?" I learned the hard way: translating analysis into action is everything. Curious how? Read on. I used to spend most of my meeting time explaining statistical methods, only to realize my audience just wanted a clear recommendation. Once, after 45 minutes on hierarchical models, a scientist asked, "So, should we move this compound forward or not?" I hadn't even calculated that probability. Lab scientists are experts in their own right—they need actionable insights, not a stats seminar. Now, I always start with the decision and probability, then offer details if asked. Trust and engagement have skyrocketed. Your communication budget is finite; spend it on what matters. Lead with the decision, not the methods. Use BLUF (Bottom-Line Up-Front): start with your recommendation and the probability behind it. Lab scientists operate in different modes: decision, learning, or validation. Tailor your approach to their needs—don't default to teaching when they're in decision mode. Translate your analysis through three layers: statistical reality (for you), scientific meaning (the bridge), and decision layer (for them). Only collapse to a single probability when it's time to make a decision. Build trust by being clear and actionable, not by over-explaining. Keep technical details in an appendix—share them only if asked. Anticipate the questions your collaborators always ask. Proactively address their concerns to build credibility and save time. If you've ever struggled to get your analysis heard, check out my latest post for practical frameworks and real-world examples. Would love your thoughts, likes, or shares! Full post here: https://lnkd.in/ex6-q4Hd What strategies have helped you bridge the gap between data and decision-making in your collaborations? #biotech #datascience #communication #leadership #decisionmaking