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Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
Job Responsibility:
Run workflows for DNA synthesis and assembly, protein expression, protein purification, and protein characterisation
Effectively document and communicate results, successes, and challenges in a cross-functional environment
Requirements:
BSc or equivalent experience in molecular biology, biochemistry, enzymology, metabolic engineering, biophysics, or related fields
Demonstrated experience with standard molecular biology techniques such as cloning, in vitro and/or in vivo protein expression systems (e.g. E. coli, B. subtilis, P. pastoris, CHO or HEK cell lines, cell extracts)
Motivated to work in a 100% laboratory based role
Excitement to learn, contribute, and drive innovation in an early stage startup environment. Having an appetite for its ambiguity and fast pace
Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment
Ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized
Nice to have:
Protein purification techniques (e.g. affinity tag purification)
Assay development for enzymatic activity or antibody binding assays
Protein expression in cell-free systems (cell extracts, myTXTL, PURE)