LinkedIn Content Strategy for Biotech LinkedIn Strategists | Netwarm
LinkedIn playbook · Case study
LinkedIn content strategy for biotech LinkedIn strategists: how a Paris-area strategist reached 43 life science leaders
We read every reaction on 29 posts from a Paris-area LinkedIn strategist for biotech founders. 363 people, 43 life science leaders. Here is what brings buyers, what brings peers, and the 5 posts we'd publish next.
Max Sawyer · Netwarm··11 min read
The creator in this case studyA Paris-area LinkedIn strategist for biotech founders
Followers8,501
Posts~6 a week
SellsLinkedIn coaching and ghostwriting for biotech founders (the BiologIn programme, 3 and 6 months)
PeriodOct 2 – Nov 6
Ideal client: founders and CEOs of biotech and life science startups who need investors, pharma partners and customers to know them before they need them.The challenge: In the strategist's own words: "Generating 40,000 impressions in life sciences is easy. Generating 10 to 18 qualified buyer conversations from it is an entirely different job." Does the same hold on the strategist's own profile?
Key takeaways
These numbers are from 6 November. Your audience has already moved.
New life science leaders turn Hot every week and others go quiet. Run your free scan to see today’s version, with the names.
43 life science leaders reacted in 5 weeks.About 1 reader in 8 (11.8%). More than half of the readers (52.1%) are peers: marketers, writers, consultants and coaches.
Founder mistakes bring the leaders.Posts on founder mistakes brought 17.8% life science leaders, client stories 7.8%: 2.3x more.
3 life science leaders are Hot right now.They reacted to 5 posts or more. One of them reacted to 17 of the 29.
01
Who actually reads you, and what the LinkedIn algorithm changed
The strategist posts about 6 times a week to 8,501 followers: founder mistakes, client stories, personal stories and the BiologIn programme. The buyers are founders and CEOs of life science startups.
The LinkedIn algorithm shows a post to the people who reacted to the last ones, then to people like them. A profile about LinkedIn attracts people who sell LinkedIn. Reach can't tell the difference. Who reacted can. We looked at every person who reacted between 2 October and 6 November, and sorted them by role.
29posts in 5 weeks
363people reacted
43life science leaders
4came back 3+ times
Audience by roleThe 363 people who reacted, by roleFree
More than half of the readers are peers: people who sell marketing, content, ghostwriting or coaching, often to the same founders. They push reach, and rarely hire a LinkedIn strategist.
The buyers are there, but outnumbered: 43 founders, CEOs, BD leaders and investors in life sciences, about 1 reader in 8. 27.8% of everyone who reacted is a founder, owner or C-level, many of them in other fields.
SeniorityAll people who reactedFree
Founder, owner, C-level27.8%
Director, VP5.5%
Manager6.6%
Independent5.5%
Other54.5%
IndustriesLife science leaders onlyNetwarm
Biotech and drug discovery60.5%
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Core audience4 life science leaders engaged 3+ times · 3 engaged 5+ timesNetwarm
4 life science leaders keep coming back. One of them reacted to 17 of the 29 posts.See your regulars
Engager company sizeEveryone who reacted, by company sizeNetwarm
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See which company sizes your life science leaders work at.See company sizes
02
What to post on LinkedIn to reach life science leaders
A strategist who sells to biotech founders should judge a post by who reacted, not how many.
We tagged each of the 29 posts by topic, then measured the share of life science leaders among the people who reacted.
Your topicsWhat your 29 posts were aboutFree
29posts
Personal stories8
Founder mistakes & frameworks7
Client stories7
Programme offers4
Own LinkedIn system3
Topics that attract life science leadersShare of each topic’s reactions from life science leadersNetwarm
Founder mistakes & frameworks17.8%
Personal stories11.9%
Own LinkedIn system8.5%
Programme offers8.0%
Client stories7.8%
One topic brings 2.3x more life science leaders than another. See which.See which topics
Posts on founder mistakes bring 2.3x more life science leaders per reaction than client stories: 17.8% against 7.8%.
Posts that brought the most life science leadersShare of life science leaders in each post’s reactions1 of 5 open
#115k followers and still no licensing call25%
#2Founders post, but don't comment22.2%
#3The habit that made you a brilliant scientist20.8%
#4A competitor criticised my methods18.5%
#5Someone called me an idiot in my DMs17.6%
For comparison, client stories averaged 7.8% life science leaders. The BiologIn results post (34 reactions) brought 3.1%. Posts with fewer than 10 people read are left out of the ranking.
6 rules for LinkedIn engagement from life science leaders
These rules come from what worked on the strategist's own profile, and from the best-performing posts by LinkedIn strategists, investors and biopharma advisors over the last 6 months.
1
Name the founder's mistake, not your method. Founders stop on a post that describes them. "You waited too long", "you write for the wrong reader": the mistake is the hook, the method comes after.On this profile: founder mistake posts brought 17.8% life science leaders, client stories 7.8%.
Write for partners, not peers. A post written to impress other scientists gets reactions from other scientists. Say who it helps and with which problem, and the partners read on.On this profile: the brilliant scientist post brought 20.8% life science leaders.
Say what pharma BD actually buys. Licensing teams buy a solution to a problem they already have budget for. Posts that name that problem speak to the person who signs.On this profile: the client story on pharma BD brought 13% leaders, against 7.8% for client stories overall.
Open with one line founders already feel. A short, true line in the first sentence (being invisible, waiting too long) makes a founder stop before the algorithm decides for them.Across the niche: a one-line post about being invisible on LinkedIn drew 733 reactions and 149 comments.
Tie the story to the next raise. Fundraising is the worry every founder carries. A post that links visibility to the next round speaks to it directly.On this profile: the fundraising post brought 15% life science leaders.
Make comments part of the strategy. Posting waits for the right people. Commenting goes to them. A post that teaches founders how to comment is also proof of the method.On this profile: the commenting post brought 22.2% life science leaders.
When life science leaders read: the best time to post on LinkedIn for biotech LinkedIn strategists
We compared the share of life science leaders by the day each post was published (Paris time). Days with fewer than 3 posts are left out.
Share of life science leaders by posting dayAmong the people who reacted to each postFree
13.6%
Mon
9.6%
Tue
10.3%
Wed
16.3%
Thu
13.7%
Fri
11.3%
Sun
Best time to post, by hourShare of life science leaders among people who reactedFree
12.1%
8:00
12.3%
10:00
Thursday led with 16.3% life science leaders, against 9.6% on Tuesday. Part of that is the topic: the best post for buyers (the 15k followers post) went out on a Thursday. Monday brought the most leaders per post (5.6), thanks to the burnout post.
Almost every post goes out at 8:00 (24 of 29), so hours can't be compared yet. Keep the founder mistake posts for Monday and Thursday mornings, and test a few 10:00 slots.
05
5 posts ready to publish to target life science leaders
Each post follows the rules above, in the strategist's voice. Swap in your own details before posting: the real story is what makes it land.
1Ready to postFounder mistakes
The 5 readers who decideRules 1 and 2: a founder mistake, written for the people who sign. Modelled on the 15k followers post, the best post for buyers on this profile, with the lead magnet in the P.S.
Hook
Your best LinkedIn post this month was probably read by the wrong people.Likes from peers.
Comments from other scientists.
Not one message from a partner.I see it every week with life science founders.The post did well. The pipeline didn't move.Because in life sciences, 5 readers decide what your post was worth:1️⃣ The one who can block you.
Regulators, reviewers, future acquirers.2️⃣ The one who makes your science credible.
Clinicians, senior scientists, translational experts.3️⃣ The one who will defend you internally.
BD teams, licensing leads, R&D directors.4️⃣ The one who moves capital.
VCs, board members, venture partners.5️⃣ The one who frames your field.
Editors, analysts, conference chairs.Before I publish a post for a client, I check one thing:
which of these 5 is it for?If the answer is "everyone", it's for no one.Your post doesn't need more reach.
It needs the right reader.→ Which of the 5 did you write for last week?P.S. I turned these 5 readers into a one-page check you can run on any draft in 2 minutes. Comment "FILTER" and I'll send it to you.
Visual · Single imageThe 5 readers as a simple list on one slide, with one example role under each. Your colours, no stock photo of a lab.Check before postingHave the one-page check ready before you post the P.S. The "every week" line is your own observation: keep it only if it is true.
Peers react. Partners read.Rule 2: write for partners, not peers. Modelled on the brilliant scientist post (20.8% buyers).
Hook
Your peers react to your posts.
Your partners read them in silence.That's the trap for scientist-founders on LinkedIn.You post a clean summary of your latest data.
The likes come from your field.
The comments are technical questions.
It feels like it worked.But the person who could license your asset scrolled past.
Not because the science was weak.
Because nothing in the post told them why it matters to their roadmap.When you share something technical, use 4 steps:→ Observation: what you saw in the data.
→ Meaning: why it changes something.
→ Business application: who it helps, and with which problem.
→ Conversation: the question you want a partner to answer.Most founders stop at step 1.
Partners only start reading at step 3.Keep your science rigorous.
Just don't stop where your paper stops.→ In your last post, which step did you skip?
Visual · Single imageThe 4 steps as arrows: Observation → Meaning → Business application → Conversation, with steps 3 and 4 highlighted.Check before postingThe hooks use a CEO example: only use hook B if you have a real case to point to.
Pharma BD doesn't buy better scienceRule 3: say what pharma BD buys. Built from the formulation client story and the founder mistakes format that brings the most leaders.
Hook
Pharma BD teams don't buy better science.
They buy a solution to a problem they already have a budget for.Most biotech founders post the opposite:❌ Why our platform beats the others.
❌ A new data point, explained in full.
❌ A long reply to win a technical debate.Great for impressions.
Useless for licensing.One of my clients had 1.2 million impressions in 10 months.
His comments were full of academic peers.
Buyers: zero.We changed 3 things:1️⃣ We talked to the people he wanted to sell to.
2️⃣ We wrote down the formulation and bioavailability problems pharma teams had been carrying for 18 months.
3️⃣ We posted about those problems only.Impressions went down.
After 3 months, Licensing and Search & Evaluation teams reached out directly. 3 times.Your goal on LinkedIn isn't to win the debate.
It's to be the obvious answer to one problem.→ What is the first problem a partner asks you to solve?
Visual · Text onlyNo visual: the before/after lists carry the post.Check before postingThe client figures come from your October post: keep them exactly as you published them.
15 minutes of comments beat 3 postsRule 6: the comment section as a strategy. Modelled on the commenting post (22.2% buyers).
Hook
Posting is waiting for someone to walk into your office.
Commenting is walking into theirs.Most life science founders only do the first one.They spend 2 hours on a post.
Then they leave LinkedIn until the next one.Meanwhile, the pharma executives and investors they want to meet are posting every week.
And nobody from their field is answering them with something useful.Here is the 15-minute routine I give my clients:1️⃣ Keep a list of 20 people you want to work with.
2️⃣ Every morning, open 3 of their posts.
3️⃣ Write one comment each:
→ start with something you've seen yourself,
→ add what the post didn't say,
→ end with what you really think. No question for the sake of it.No "Great post".
No "Thanks for sharing".After a few weeks, your name is familiar before you ever send a message.→ How many minutes did you spend commenting this week?
Visual · Single imageA phone screen showing one comment, split into its 3 parts with simple labels: personal, new angle, point of view.Check before posting"20 people" and "3 posts" are a suggested routine: adjust them to what you really teach.
Start posting before the roundRules 1 and 5: the fundraising fear, told as a founder mistake. Modelled on the fundraising post (15% buyers).
Hook
Why do investor meetings feel cold?
Because they met you the same day."We'll post on LinkedIn once we raise."
I hear it from life science CEOs every week.It sounds reasonable.
The lab is on fire, the team is small, the money is counted.But look at what happens when you start late:❌ The investor googles you the night before the pitch and finds a 2-year-old post.
❌ The partner you met at a conference can't remember what you do.
❌ The candidate you want to hire has never heard of you.And when you start 6 months earlier:✅ Investors have read how you think before the first call.
✅ Partners already know which problem you solve.
✅ Your first meeting feels like a second one.You don't need to post every day.
Two clear posts a week, written for the people who decide, is enough to start.→ When is your next round, and when did you start posting for it?
Visual · Single imageA simple timeline: "start posting" 6 months before "first pitch", with 3 small labels for investors, partners and hires.Check before posting"Two posts a week" and "6 months" are suggestions: match them to what your programme promises.
Free forever: unlimited scheduling through LinkedIn’s official API, with images, video and PDF carousels.
06
LinkedIn lead generation: lead magnets that work to target life science leaders
Reactions show interest. A download shows intent. With peers outnumbering buyers 4 to 1, a lead magnet is the fastest way to find out which founders are serious: they ask for it.
Among founders and the people who advise them, these formats get the most requests:
Format 1The templateA ready-to-use profile or post template, sent for a keyword in the comments.
Format 2The investor trackerA tool founders use for their raise, given away for a comment.
Format 3The personal answerFounders drop one line in the comments, and get a personal reply.
Format 4The one-page checklistA checklist to run on every draft before posting.
Our pick for you: “The 5-reader check”Format 4, built from the 5 filters the strategist already teaches: who can block you, who gives your science legitimacy, who defends you internally, who moves capital, who frames your field. One page, to run on any draft in 2 minutes. Offer it in the P.S. of post 1.With a Reveal link, every person who downloads it is shown by name, with their role and how warm they are. Your first Reveal link is free.Create your free Reveal link
07
From reactions to clients
Content brings life science leaders to the profile. It doesn't say when to reach out. Most never comment, so they stay invisible among the peers, and a founder who reads every post in October may have hired someone else by January.
On LinkedIn, the right moment to start a conversation is when someone keeps coming back. We call that Hot: 5 or more points over 90 days, where a reaction counts 1, a repost 2, a download or a reply 4.
Hot right now3 life science leaders · not contacted yetNetwarm
3 life science leaders are Hot. See who to message first.See who’s Hot
First messageAn opener for each Hot person, based on the posts they readNetwarm
Hi Alex, you've read most of the posts on founder visibility this month. Is a raise coming up?Hi Sam, I saw the post on pharma BD caught your eye. Is licensing on your roadmap this year?
A first line for each of them, ready to send.See the openers
Netwarm sends nothing for you. It tells you who and when, and you write the message. It also works inside Claude and ChatGPT: ask “Who's Hot today?” and get the list.
08
FAQ
The mistakes founders make. Founder mistake posts brought 17.8% life science leaders here, personal stories 11.9%, client stories 7.8%. Keep the stories for trust, and make the founder's problem the hook.
For this strategist, Thursday (16.3% life science leaders) and Friday (13.7%), against 9.6% on Tuesday. The best post for buyers went out on a Thursday, so the topic explains part of the gap.
Look at who reacts, not how many. Group reactions by role, measure the share of your ideal clients per post, and follow the people who keep coming back. A free Netwarm scan does this for you.
Posts about LinkedIn attract people who sell LinkedIn. Here, 52.1% of readers were peers. That's fine for reach, but measure your buyers separately.
Yes. Netwarm only reads public reactions to your own posts. It never logs in as you, never asks for your password, and never messages anyone for you.
How we made this playbook
We read the public reactions on 29 posts published between 2 October and 6 November 2026 (one duplicate left out), up to the first 100 reactions per post, and sorted the 363 people by role. Comments were not counted, so figures are a floor.
Niche rules come from top posts by LinkedIn strategists, investors and biopharma advisors over the last 6 months. Role groups are approximate; a Netwarm scan matches people to your own ideal client.