Computational Investigator

tailored protein solutions; utilizing big data-driven bioinformatics pipelines to analyze protein sequences, identifying latent structural motifs and sequence-encoded folding signatures; implementing cutting-edge Monte Carlo methodologies and advanced perturbative techniques to simulate and decipher protein-ligand interaction landscapes, achieving next-level computational fidelity; leveraging high-dimensional molecular simulations and AI-driven predictive models to anticipate protein folding kinetics with unprecedented precision, creating next-generation bioengineered molecules for transformative applications; leveraging next-gen simulation toolkits to engineer miniproteins capable of ultra-selective binding and maximized catalytic efficiency, harnessing complex systems analysis for cutting edge biotechnology; integrating AI-driven data analytics pipelines with massive simulation datasets, performing large-scale analysis to uncover hidden protein behavior patterns and optimize protein designs at unmatched speeds; continuously and proactively integrating new advances in computational biology into our workflows in a nimble yet rigorous manner; analyzing biological datasets using statistical and/or machine learning methods and visualization tools to draw conclusions and enable experimental scientists to do the same; constructing state-of-the-art infrastructure to address AI Proteins unique data management needs and leverage our high-throughput analytical platforms to produce powerful insights into the mechanistic underpinnings of protein structure and function; working closely with project teams and providing prompt computational support for NGS analysis, structural biology workflows, and subsequent analyses; collaborating with software engineers and experimental scientists to build production-scale pipelines; continuously assessing our computational tools to maximize efficiency and ensure optimal alignment with our broader scientific goals; communicating findings via verbal and written communications, visualizations, and presentations.

The position requires a doctorate degree in biophysics, biochemistry, or a related field (foreign equivalent accepted). Applicants must also have any demonstrated working knowledge of: Full stack scientific algorithm development in HPCs; Python and C programming languages; Optimization of parallel computing processes; Statistical modeling of biophysical processes.

To apply, send a CV and cover letter to with reference to code MVC25.