This community exists for one reason — to make molecular biology genuinely accessible to people who need it for their work. Whether you're a data scientist working with genomic data, a researcher from an adjacent field, a science communicator, or someone transitioning into biology, you belong here. These guidelines exist to keep the community useful, respectful, and worth your time. Be curious, not performative There are no stupid questions here. If you don't understand something, ask. The whole point of this community is that biology can feel impenetrable from the outside — asking for clarity is exactly what this space is for. You will never be made to feel embarrassed for not knowing something. Be specific when you ask questions The more context you give, the better the answer you'll get. Instead of "I don't understand gene expression," try "I'm working with RNA-seq data and I'm not sure what normalisation method to use — can someone explain why this matters biologically?" Specific questions get specific, useful answers. Engage with the journal club Every week a real recent paper with clinical implications gets broken down here. Read it, ask questions, share what surprised you, push back if something doesn't make sense. The journal club is only as good as the conversation around it — your engagement makes it better for everyone. Self-promotion — one dedicated space only You're welcome to share your own work, papers, projects, or resources — but only in the weekly "Share Your Work" thread pinned at the top of the community. Unsolicited self-promotion posted anywhere else will be removed. This keeps the feed focused and useful. No misinformation Biology is a field where precision matters. If you share something, make sure it's accurate. If you're not sure, say so. If you see something that looks wrong, flag it respectfully rather than publicly calling it out — send a DM or tag me directly. Respect everyone's starting point Members here come from wildly different backgrounds — some have PhDs, some have never taken a biology class. Both are equally welcome. Do not condescend, do not gatekeep, and do not make anyone feel like their question is beneath the community. If you wouldn't say it in a professional meeting, don't say it here.

Really glad you're here. This community exists because biology has a gap problem. Brilliant people from data science, engineering, chemistry, bioinformatics, and science communication are working with biological concepts every day — and nobody gave them a proper map. That's what Biology Unlocked is. Here's how to get started: Step 1 — Head to the Classroom Start with the Foundations course. It's designed for every background and every starting point. Lessons 1.1 and 1.2 are free previews — available to everyone before you dive into your specialist track. Step 2 — Choose your track Once you've completed Foundations, move into the track that fits your work: Biology for Data — if you work with biological datasets Biology for the Bench-Adjacent — if you work alongside biologists Biology for Communicators — if you write, edit, or report on biology Step 3 — Join the journal club Every week I break down a real recent research paper with clinical implications — methods, data, figures, and what it actually means. Live sessions are open to everyone. Recordings are available to Practitioner and Immersive members. Step 4 — Ask questions This is the most important step. Don't sit with a question you don't understand. Post it in the feed, bring it to a Q&A session, or DM me directly. There are no stupid questions here — only ones that haven't been answered yet. A note from me: I built this because I kept seeing the same gap after 10 years of editing 500+ manuscripts — people who were exceptional in their own fields, hitting a wall with biology. You're not behind. You just needed the right starting point. This is it. Welcome aboard. Akshi