R&D Scientist (Remote)

You will:

• Generate training set for ML modelling
• Help with labelling of text and image data collected from publications
• QA data from ML models and data pipelines to identify deficiencies and to develop strategies to improve overall data collection
• Conduct ongoing research to improve use case data collection for existing and new reagent groups 
• Develop new ways to apply our ML technology to design experiments
• Expand our biomedical libraries and overall proteomic functionalities
• QA current mapping data and develop new methods to improve mapping 
• Keep up with current biomedical research to guide technology development
• Help with the improvement of UI/UX and search accuracy of the BenchSci platform
• Build trust with your colleagues through open and transparent communication

You have:

• Ph.D. or MSc +3 years of relevant bench experience in life sciences (e.g. Molecular Biology, Pharmacology, etc.)
• Extensive knowledge and/or bench experience in experimental biology research techniques, including: Drug discovery (preclinical, toxicology), Analytical Biology (pharmacokinetics/pharmacodynamics, LC/MS, SPR), Immunological methods (in vitro/in vivo, cell-based and analytical), Genetics (cloning, CRISPR, NGS), Functional assays (kinase assays, cytotoxicity, neutralization/activation)
• Experience working with bioinformatics databases (eg. DrugBank, SIDER, Uniprot, STRING, Kegg Pathways, etc)
• Ability to think outside the box, and develop solutions to problems you have not seen before
• Ability to work in a fast-paced and collaborative environment, to handle multiple concurrent priority tasks with tight deadlines
• Ability to adapt to changing priorities and create process improvements
• Quick learner, comfortable with open-ended tasks
• Strong organization and time-management skills with keen attention to detail