Elektrofi’s Post

Senior scientist

🧬 Biotech Enthusiasts: Shape the Future of Healthcare & Life Sciences 🌱 As we navigate these complex times, the importance of the Biotech industry is more evident than ever. This realm stands at the confluence of innovation, healthcare, and the promise of a healthier tomorrow. While challenges persist, numerous biotech firms – from groundbreaking startups to established giants – are on an active lookout for talent. These organizations recognize the value of nurturing expertise that can drive the next wave of breakthroughs. 🌟 Biotech Professionals: If you're aspiring to contribute to this pivotal industry, let the community know. 'Like' this post and share a brief about your experience and the role you're eyeing in the comments. Such posts are magnets for decision-makers and recruiters eager to discover talent like yours. Here are a few jobs to take a look at: - Lead Data Scientist for Alldus https://lnkd.in/gfxYJx5p - Machine Learning Research Specialist for Vial https://lnkd.in/g_gG-XyK - Senior Machine Learning Scientist for DeepCure https://lnkd.in/g_JkmWMB Together, let's continue the journey of exploration, discovery, and innovation. #BiotechJobs #InnovationInHealth #ShapeTomorrow #CareerOpportunities

💡 Is Life Science More Than Just Academia and Research? "Is there anything other than a lecturer, professor or a domain specific scientist/researcher one can be after pursuing Life Science?" Yes, one can explore ample opportunities in Life Science field if they possess a creative personality! A lot of new-age roles are emerging in the 21st century, that are less degree specific & more 'skillset' specific which open doors to an unlimited success. 💡 Biochemistry - Science Policy Analyst- Subject knowledge + data analysis, science policies - Bioinformatics Specialist- Subject knowledge + programming languages 💡 Biotechnology - Biotech Quality Assurance Specialist- quality control procedures + industry regulations + regulatory compliance - Biotech Sales and Marketing- Market research + healthcare industry knowledge 💡 Neuroscience - Neuroinformatics Specialist- data analysis + programming + computational modeling - Virtual reality neuroscientist- computational neuroscience + virtual reality 💡 Pharmaceutical sciences - Medical Science Liaison (MSL)- clinical trial processes & data + science communication + comprehending scientific information - Healthcare Policy Analyst- healthcare policies + healthcare systems + report writing Opportunities in the field of Life Science beyond academia & research are ample if one has the potential to build their skills in addition to the subject knowledge. Reserve your spot at www.myskillaudit.com & discover the ideal higher education career options for you! #highereducation #lifescience #careers #jobs

Managers should be mandating that data is fit for purpose. This won’t mean integration and wrangling won’t be required for secondary data mining but if the primary analysis is impeded someone should be escalating that issue. A good way to put it in terms that have strong meaning for senior management is that when any company is looking to acquire a biotech or one of their drug candidates they will likely want to perform some due diligence on the data. If it can’t be found or is messy inconsistent or incomplete then confidence goes down and so does the offer price.

4 of 14 #job #openings on 2/22 ✴️ RnD lead - open to various backgrounds ✴️ FloraPulse (Microfluidics) #checkitout and #share #opportunity #usajobs #usa #hiring #hiringnow #open #jobsearch #reshare #engineeringjobs #engineering #givingback #spreadtheword #connectandgrow #repost

Computational biologists are among the most expensive biotech employees. But many of them spend less than half their time on high value work. They spend the other half tracking down data, cleaning it and dealing with other technical obstructions. It's work they don't want to be doing. It's work that leaves them burnt out and ready to look for a new job. And yet it often goes unnoticed by leadership. Why? These employees just want to get the work done. They don't want to be a squeaky wheel. They don't want to put a burden on their wet lab colleagues who are creating the messy data. So instead they quietly work extra hours on the low-value work that allows them to do the high value work. Imagine what they'd get done if they could spend more time on the work they were hired for.

Here's a 1 pager with all the steps you need to take to hire a brilliant research scientist. #onepager #hiringguide #sciencecareer https://lnkd.in/d3XmV6jy

Looking to build a platform in the life sciences sector? 🆘 Looking to boost the way you monitor and harness your data? 🏗 My team and I are currently representing multiple Data Scientists within the biotech space across the UK that: - Built novel protein‑protein interaction and metabolic reaction network graphs that were fed into the company’s proprietary Knowledge Graph. - Used multi‑modal data combined with bioinformatics and network approaches to find novel drug-gable targets for rare diseases. - Built novel predictive event models in ML. Sound interesting? Reach out to me via LinkedIn, email or drop me a call. 💪 Happy to have a chat about specific hires or just the general hiring process and how I can add value! 😀 #biotech #datascience #machinelearning

A very potent application of machine learning