Computational and Experimental Scientist

Required

• Typically 3 to 11 years of relevant experience, including experience in biotech or life sciences software and customer-facing technical or commercial work.
• Hands-on wet-lab experience and a background in biology, biochemistry, or a related life science.
• Experience building or operating protein design, protein language, discrete diffusion, or structure prediction models in an experimental design-make-test cycle.
• Practical use of tools such as ESM, ProtT5, RFdiffusion, BindCraft, or equivalents.
• Personally developed and debugged production methods for Hamilton, Tecan, Opentrons, or equivalent liquid-handling platforms.
• End-to-end BLI or SPR kinetic fitting experience, including diagnosing assay and measurement failure modes.
• Python or equivalent scripting skills for automation and kinetic data analysis, plus an understanding of receptor biology, protein structure, and scoring.
• Experience operating inference systems at scale, improving model architectures, and working across experimental biology, bioinformatics, and machine learning.