Building things at @PixelgenTech. Chronically curious. Molecular medicine PhD. Formerly: @OlinkProteomics, @scilifelab

Joined October 2015
10 Photos and videos
Johan Dahlberg retweeted
13 Jun 2023
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Join the @PixelgenTech team as a immunology application scientist! Great team and so much exciting science ahead of us. careers.pixelgen.com/jobs/25…

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Listen to Simon talking about the exciting stuff we're doing at @PixelgenTech.
New Spatial Company Maps Cell Surface Proteome without Imaging Podcast with Simon Fredriksson, CEO @PixelgenTech mendelspod.com/podcasts/new-… #spatialbiology #proteomics #immunology #proteomics
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Johan Dahlberg retweeted
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If you are at AGBT make sure to go and say hi to my nice colleagues at @PixelgenTech and learn more about what we do. Not there? No worries, you can have a look at the poster here: pixelgen.com/AGBT2023_Pixelg…

Don't forget to visit poster number 538 today at AGBT from Pixelgen Technologies and learn about Molecular Pixelation @PixelgenTech #agbt23
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Join the team as our new field bioinformatics scientist! careers.pixelgen.tech/jobs/2…

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Hey! Wanna join the @PixelgenTech team? We have to exciting positions for bioinformaticians/comp. biologists out now: careers.pixelgen.tech/jobs/1… careers.pixelgen.tech/jobs/2… There is plenty of exciting stuff to do, and nice people to do it with.
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Want a t-test with a volcano plot visualization for your Olink data? No problem! Check out the OlinkAnalyze R-package for analyzing Olink data. You'll find it here on Github: github.com/Olink-Proteomics/… #RStats #proteomics #olink #bioinformatics
Olink® Analyze 3.1 is an R software package to streamline analysis of Olink data. This versatile toolbox supports the entire Olink portfolio, making data analysis easier to facilitate the extraction of biological insights from Olink data. Press release: bit.ly/3bdRQ5f
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Here is what I've been working on recently @OlinkProteomics excellently explained by our UX-wizard! Want an invitation? Reach out to me and I'll get it sorted. We are super excited to hear how you like it, and what you'd like to see next.
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You can also learn more about Olink Insight, and sign-up for an invite here: info.olink.com/olink-insight…

Johan Dahlberg retweeted
Today we announce the Olink Explore 3072 high throughput #proteomics platform, offering uncompromised data quality with coverage of all major biological pathways. PEA combined with NGS readout on @illumina platforms. Available for pre-order. Read more at hubs.la/H0QRJSp0
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Want to help us build high quality software @OlinkProteomics? Join us as a software quality engineer: careers.olink.com/jobs/12028…

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Johan Dahlberg retweeted
Replying to @scilifelab
@scilifelab Uppsala is now the first certified core facility in Europe to run the Olink Explore high-throughput protein biomarker platform. Hear how #proteomics & #genomics interests converged to offer this unique technology to scientists in Sweden olink.com/scilifelab-uppsala…
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We are still looking for a DevOps engineer to join our team @OlinkProteomics. We are building some pretty cool stuff around here, so I hope you want to join us: olink.com/about-us/working-a… #devops #uppsalatech

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Come join our team at @OlinkProteomics as a DevOps-engineer! The ad is in Swedish, but Swedish is not a requirement for the job. olinkproteomics.workbuster.c…

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That's some pretty old DNA!
18 Feb 2021
New record for the oldest #DNA ever sequenced in a study led by @CpgSthlm (@Stockholm_Uni & @naturhistoriska). “Our DNA analyses show that there were two different genetic lineages [of #mammoth]” says @love_dalen. Facilitated by @ngisweden. More: su.se/english/news/world-s-o…
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Johan Dahlberg retweeted
Github VSCode on your browser = 🤯 Just add "1s" before the ".com", and tada! Here is an example with our Continual Learning library Continuum: github1s.com/Continvvm/conti…
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Question for the data science folks: does anyone know of a way to define a schema for a csv file, that can then be used to generate readers for files of that type for different programing languages? So far google has failed me on this point.
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I.e. I want to be able to specify if a column is integer, categorical, string, etc and have that parsed correctly into for example R or Python automatically.
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