Australian BioCommons’ Post

Bioinformaticians are set to outpace wet lab workers in earnings" Do you know why? No. 4 can be a reason for you to choose this career path. 1. High demand for data analysis skills drives Bioinformaticians' salary up. 2. Bioinformatics integrates advanced technology, attracts higher compensation packages. 3. Personalised medicines are dependent on Bioinformatics, which are increasing its value and pay. 4. Bioinformaticians have unique experties, leading to premium job offers. Share your opinion in the comment section #Bioinformaticians #bioinformatics #computationalbiology #seocontentwriting #labtechnician #Biotechnologist

Looking to kickstart a high-paying career in medical research?❓ 💡 Whether you're aiming to be a Research Manager, Clinical Data Analyst, or even a Bioinformatics Scientist, the opportunities are endless! Which role excites you the most? Let us know in the comments! 👇 #MedicalResearch #CareerGrowth #Bioinformatics #ClinicalResearch #clinogenesis #clinogenesisresearchinstitute #CGRI #fyp #clinicalresearch #CR #ClinicalTrials

senior bioinformatician

The Leibniz Inst. of Vegetable and Ornamental Crops (IGZ) is looking for an expert in #Bioinformatics with broad expertise in omics-data analysis, who enjoys advising and training our researchers in improving their omics-data analysis. Keywords: #metabolomics #genomics #metagenomics #transcriptomics #plantresearch #microbiome #dataanalysis #multivariatestatistics #training #teamwork

Bioinformatics is an interdisciplinary field that uses computer technology to collect, store, analyse and disseminate large and complex sets of biological data 💻 Bioinformatic scientists collect and use this data to help solve problems in genetics and genomics, and to develop software and custom scripts that automate data mining and manipulation. Looking for a Director of Bioinformatics role? Keep reading - this blog covers everything you need to know before you apply for a Director of Bioinformatics role. #DirectorRoles #BioInformatics #HiringDirectors

Bioinformatician

Connecting the Dots in Biotech In the rapidly evolving world of biotech, the path forward isn’t always clear. But those who can connect the dots between biology, data, and technology are finding new ways to make an impact. Consider this: Expanding Roles: The industry is seeking professionals who can bridge multiple disciplines. Are you preparing yourself for these emerging opportunities? Innovation Through Insight: Understanding data isn’t just an advantage; it’s becoming a necessity. Where can this skill take you? Building the Future: The future of biotech depends on those willing to explore new approaches and ideas. What could your contribution be? If you're ready to take on these challenges and drive the future of biotech, do look out for our Industry PGP in Bioinformatics, Genomics & Data science. To apply : https://lnkd.in/gcdRnJVq

One of the more striking differences I see between bench vs computational biologists (CBs) in biotech/pharma is in how much time they spend doing hands-on (vs planning) work as they become more senior in the organization. Bench scientists tend to observe a bit more hiearchy, with the expectation that once you reach a certain title you won’t have time to work at the bench anymore. You will instead guide the more junior scientists reporting to you to perform studies at the bench. Your job becomes mainly administration and guidance. This is perhaps a reflection of the PI-vs-lab relationship in academia. On the other hand, CBs tend to have less hiearchy, with the expectation that you would still be doing some degree of hands-on data analysis as you become more senior. I see even VPs in biotechs and directors in pharma still keeping their hands on the data analysis. Why this difference? I suspect it has to do with how much easier it is for CBs to do hands-on work using scraps of time between meetings and on the weekends. You can spread a single analysis across many weeks, picking up exactly where you left off each time. All you need is your computer. Whereas at the bench you can’t just start a cell culture experiment, pause it, then come back a week later to resume where you left off. Pro: I quite like the fact that even very senior CBs can stay sharp in their practice of data science. Con: This also make it more likely for CBs to have a more fragmented experience of work as they become more senior. You are expected to be juggling more projects simultaneously because technically you can as long as you have your computer. #compbio #computationalbiology #bioinformatics #biotech #pharma

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The very vast majority of laboratory scientists have nowhere to go and believe that career progression can only occur through leaving the lab and telling other people what to do. 60 year old at work on a Sunday doing cell culture work preparing neurones for analysis - with a computational biology project (revolving around the interaction between cells of the brain) starting on Monday here. Experimental insight identifies what's required of Computational biology. I don't believe that we can be either an Experimental EOR Computational biologist- we need to be both. This quote is interesting - "Science without religion is lame, religion without science is blind" - E though transferred over onto current context where I'm not going to define whether it's Experimental Biology or Computational Biology - that is religion ... ... though it's fairly easy to make a case for blind faith underlying both. Here's a conversation with Robert Gentleman and friends (a Computational Biologist of note) - which explains how even the best of Computational Biologists can find himself turning the handle on not only a blind, but also an uninformed faith - because of precedent /ie/ "When all that you have is a hammer, everything's a nail" where though "Insanity is doing the same thing over and over again and expecting different results." - E https://lnkd.in/ep44DP5K