Who actually suffers the most from cleaning up messy biological data?

1️⃣ Wet-lab scientists
2️⃣ PIs / academic researcher
3️⃣ Bioinformaticians
4️⃣ Pharma / biotech PMs

#lifesciences

One quick scroll and suddenly 40 minutes vanish.

I’ve tried the apps and reminders, but they always feel like another chore.

Ladies have you found something that makes unplugging actually feel good?

#phonedetox

Chihuahua or muffin?

Genomics file or proteomics file?

Raw mass spec data can be messy and way too time-consuming to sort through before you even get to the science.

How do you usually cut through the noise and make raw data actually usable?

#proteomics #microproteins #massspec #lifesciences

Sometimes I wonder if we’ve become part-time data janitors.

Integrating genomics, proteomics, and clinical datasets takes so much effort that the actual analysis often gets pushed aside.

if you’re in #biotech, #academia or #clinicalresearch what’s the hardest part of working with all your data?

#UserResearch is the only job where asking “why” 7 times in a row is considered professional and not just annoying.

Hwre’s pro tip of the day:

People don’t hate giving feedback, they hate feeling unheard.

(also they hate surveys longer than a Marvel movie)

Every time someone says “we already know what our users want” I gain another gray hair.

Keep talking, I’ll be platinum blonde by Q4 ✨

Ran my 1,501st user interview today and I'm still waiting for someone to say "I just LOVE filling out onboarding forms."

Spoiler: Hasn’t happened yet 🤷‍♀️