Here's a key difference between the biotech industry and academia that will help you integrate. Industry has a fundamentally different relationship with time than most academic systems. In general industry prioritizes being concise, clear, and efficient. Here are some examples of different relationships w/time. These are generalizations. Of course there are exceptions. 𝗘𝗺𝗮𝗶𝗹𝘀 Debating does not happen in emails. Emails are not paragraphs long. Short and to the point. Convey time, date, concrete information. Avoid polling the audience. 𝗠𝗲𝗲𝘁𝗶𝗻𝗴𝘀 Only invite people that are relevant. If it can be summarized in a memo, no meeting. If it can be summarized in a video, no meeting. Meetings that end early are a win. Rarely are meetings scheduled for > 40 min. 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 75% certain & launch > 100% certain and miss market. Your detailed plans about the future will change. Pivoting is common in response to real-world data. In strong organizations, decisions are decentralized. Delegation exists throughout the org. 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 Include only the necessary information If it isn't written down, it didn't happen. Published standards govern methods. Shorter = better. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 Different project leads within same group. Sometimes you lead, sometimes you follow. If a project is running behind... ...extending the timeline is usually not the solution. The solution is more resources, or reduce scope. 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 Define the problem statement. State the objective of the presentation or work. Communicate with as few sentences as possible. Less writing, more visuals. When asked a question, answer only that question. The common thread? Be brief, be clear, communicate effectively. #biotechnology, #biotechjobs, #scientist
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Balancing Creativity and Rigor in Research: A Winning Formula 📚 Research is a delicate dance between creativity and rigor. How do you maintain this equilibrium and design studies that are both innovative and robust? Let's explore some practical strategies for achieving this goal. 1. Define Your Research Question: A well-crafted research question is the compass of your study. It should be specific, relevant, and answerable. Utilize frameworks like PICO (Population, Intervention, Comparison, Outcome) to structure your question and give it precision. 2. Choose Your Research Method: Select the right research method to match your objectives. Whether it's qualitative, quantitative, mixed, or experimental, consider data nature, validity, reliability, ethics, and expected outcomes. 3. Develop Your Research Design: The research design is your blueprint, outlining data collection, analysis, and interpretation. Ensure coherence, consistency, and address threats to validity. Think about variables, hypotheses, sampling, and data collection instruments. 4. Implement Your Research: Execution requires meticulous preparation and adherence to ethical standards. Maintain participant safety, confidentiality, and thorough data documentation. Ensure data completeness, correctness, and consistency. 5. Analyze Your Data: This phase is where the creative interpretation happens. Choose the right analysis method, test assumptions, report results, and draw conclusions. Visual aids like tables, charts, and graphs can help convey your findings effectively. 6. Communicate Your Research: The final step is sharing your research with the world. Whether through reports, papers, presentations, or other formats, tailor your communication style and content to your audience. Use clear, concise language, acknowledge sources, and discuss limitations and implications. Art challenges perceptions. Consider "La révolution des Girafes" – a lesson in perspective. Application: 1️⃣ Embrace Change: Open to diverse views for innovation. 2️⃣ Active Engagement: Seek growth through diverse perspectives. 3️⃣ Flexible Thinking: Innovation thrives on adaptable thinking. 4️⃣ Growth Journey: New viewpoints fuel personal and professional growth. Challenge: Adopt fresh perspectives for transformative insights. If you liked the post do not forget to follow Shishir chaurasiya for more such updates Video Credit: Respected Owner #researchdevelopment #researchmanagement #innovation #rnd #researchstrategy #projectmanagement #researchleadership #sciencemanagement #innovativeresearch #researchexcellence
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Yesterday, I briefly touched on the concept of intentional research strategies 🎯 Regardless of the size of your organization, a good research strategy consists of a few basic ingredients: Context, target group/s, research questions, and assumptions. You may already be familiar with the double-diamond process, where teams initially explore all possible knowledge about a problem area and then narrow down their focus to generate and test solutions. A research strategy comes before that and answers these 3 questions: 1️⃣ Where are you in your product journey? The challenges and opportunities you face (from a market, tech, user, or product perspective)? 2️⃣ What are some critical unknowns? Things you need to learn about users, the problem space, or the market for example. They are risky or important to your existing or emerging product strategy. 3️⃣ In what order should you learn about these unknowns and why? Once you have answered these questions, your team will be able to track their learning progress, make deliberate choices on research and discovery methods, and shift from being overwhelmed by data to utilizing this focus for greater impact. #userresearch #researchimpact #strategicplanning ---- Hi, I am an independent research consultant. I help leaders and organizations optimize the impact of their research. DM to collaborate. Find out more about my services at xeniaavezov.com.
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Management in Science - Views from Inside - Prelude If you are a science or technology manager, or are at the transition of becoming one, a series of upcoming articles "Management in Science - Views from Inside" may be of interest for you. Science as a discipline produces reproducible and replicable results. Although with the best of intentions, this is not always the case for the management of science, or perhaps more accurately described as the management of scientific personnel within a group or an organization. There is already much available on this topic and although I may not be adding new information, I would like to share some of my experiences in science management over time. Each article will be comprised of a topic, a short summary, and a brief vignette related to the topic. I hope these articles may be of interest for you. In way of introduction, I have recently retired after 41 years in the field of science with the majority in healthcare diagnostics and biotechnology. In this time, I have worked for companies of all sizes including emerging biotech, <200 employees, mature companies, >75,000 employees, and also founded a start-up company, <10 employees. I will share management experiences from all of these in upcoming articles. Please note that I will refer to events that included many wonderful people over the years but, being respectful in general in social media, I will not routinely mention them by name in the articles. However, I do extend a huge thanks to all of the wonderful people that have provided such thoughtful mentoring in the past. #management #technology
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I help digital product teams break down knowledge silos and drive insight-led growth ⚡ Founder | Speaker | Coach | Knowledge Management Expert
How top 1% research teams elevate their existing insights: Themed knowledge has the ability to elevate insights faster than anything I’ve seen. We all know that stakeholders don't have the luxury of waiting. They crave insights yesterday. The fastest route to delivering this? Themed knowledge. From my own journey, starting a project with a clear view of what's been done before changes everything. You're not just moving forward; you're building on a legacy of insights, making each step forward more informed and impactful. Sharing several insights on the same topic from different studies, different audiences, and different contexts, is often the difference between a whisper and a shout. Suddenly, everyone's listening. ✅ How to action this ✅ You've probably already delved into research spanning many different topics. Moreover, it's probable that you've encountered a myriad of research questions and inquiries concerning past studies. Start by identifying the top five frequently asked questions that are covered by at least two different studies on the topic. Consolidate this information within a spreadsheet, document, or specialised repository for swift reference whenever inquiries on the subject surface again. Your stakeholders (and your teammates) will thank you for it.
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Founder | Medical Communications Strategist & Writer | Research | Consulting | Freelance | Cyclist and urbanist
I’ll admit it: I didn’t put much thought into the social sciences when I worked in the lab. I worked on my controlled experiments and I didn’t consider the psychology of people relevant to my work ("Psychology is just applied biology"). I’ve had to entirely reframe that thinking as I entered science communications: it’s not enough to just describe the data. You have to give it meaning and make it into a story. Why get this data? What can we learn from it? What’s next? Storytelling is the key to effective science communication. This is true whether you’re talking to doctors, the public, lawyers, or other scientists. You have to consider your audience and how they will receive the messages you’re laying down. If you want your paper to be widely read, your grant to be funded, or doctors to be excited about your new clinical trial results, you have to tell them why they should care. Personally, I’ve found this challenge to be one of the most exciting and rewarding parts of science communication. Science isn’t high-impact until it reaches those who would benefit from it. That’s true whether you’re an academic researcher or a global company. Facts aren’t enough: Tell a story where your science is the hero. (Or get in touch with me) +++ 👋 I’m Chris, a passionate medical writer, strategist, and founder of Quill Science LLC Quill Science LLC, dedicated to bridging the gap between science and impact with accurate and compelling narratives. 🌐 For a scientific partner led by curiosity and desire to improve health, please check out my website and profile: www.christopherpratt.com
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Here’s an Underrated Framework Every Researcher Should Know In my time working closely with product teams, I’ve seen many leaders lean heavily on common models like Jobs to be Done, Value Proposition Canvas, and other popular frameworks. But there’s one highly useful model that surprisingly few researchers utilize, despite its relevance in the opportunity analysis process - the Opportunity Assessment. As researchers, we’re uniquely positioned to feed key inputs into this framework and help evaluate ideas and features more systematically. Here’s why you should have Opportunity Assessments in your toolkit: The Core Concept An Opportunity Assessment provides a standard method for assessing potential new products or features against crucial criteria like: 👥Market Size 🏆Competition 🔎Differentiation 🛠Ability to Execute 💰Business Impact By scoring each dimension and discussing as a team, you end up with a prioritized list of opportunities focused squarely on user value and business viability. Why Researchers Should Care We supply essential perspective into realities on the ground: User needs assessments Gaps in the market Evaluation of existing solutions This context helps the Opportunity Assessment analysis become truly grounded in user truth. My favorite part is the productive debate it encourages across functions as you score ideas. Everyone's voice matters in identifying the ripest opportunities. So next time you need to build alignment on where to take a product next, don’t forget to leverage the Opportunity Assessment as part of your research toolkit! What other underrated frameworks or models help you drive meaningful insights as a researcher? Follow Anjanesh Sharma for more content like this #researcher #productmanagement #opportunity #userresearch
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2wGreat post! These lessons are useful for those jumping from academia to any industry position. Something to add: Slack/Teams: Good for informal communications Share updates that don't need a full email Discuss projects that don't need a meeting Used a lot by remote teams Avoid using for storing documents