Published on www.allthetopbananas.com 02 Feb 2025
Literature review on known biomarkers for various inflammatory diseases. Developing machine learning models to classify healthy vs. inflammatory disease blood samples. Drafting journal publications or conference paper summarizing the findings. Collaborate with clinical teams to evaluate the applicability of the developed classification algorithms in real-world settings. Develop a long-term research agenda based on the company outcomes. Requirements:
At least a BSc or higher degree in Science, technology, engineering, or mathematics (STEM). Effective written and verbal skills. Contribute positively in teams and the general work environment. Committed to ongoing learning. Pro-active, goal-oriented and with a “can-do” attitude. Experience in elements of a) Bioinformatics, b) Computer Science (desirable but not essential). Experience with IVD and process development (desirable but not essential). May require regular traveling, including traveling to Great China Regions. Additional Information
Job Level
Entry level Publish Date
20/11/2024 Job Ref. No.
N/A Job Function
Biotechnology Company Overview
StickyCell has developed and patented a pioneering blood testing system, ‘LAFA’ (leukocyte adhesive function assay), for analysing the human immune system and vulnerability to diseases. Our immune system induces inflammation when circulating leukocytes are activated and become “stickier” on the blood vessel wall for translocation into surrounding tissues. The LAFA testing system assesses the leukocytes’ ability to cause inflammation, using microfluidic chips and microfluidic fluorescent image-capturing system to measure the leukocyte’s “stickiness” and the potential to cause inflammation, thus delivering unique scientific insights and machine-learning outcomes for early detection, prevention and personalised treatment of various human diseases.
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