Senior Computational Scientist

Role: Senior or Staff Computational Scientist specializing in AI-driven protein design and discovery. Objectives include developing algorithms that integrate protein sequences with NGS and experimental data to inform design cycles, and applying AI/ML methods for therapeutic protein sequence optimization. Responsibilities encompass leading algorithm development from concept to validation, utilizing protein language models (PLMs) for sequence generation and property prediction, and collaborating across research, software, and engineering teams to implement scalable solutions. Qualifications: PhD in computational biology, bioinformatics, machine learning, or related fields; minimum 5 years industry experience; strong programming skills (Python, PyTorch, TensorFlow); proven expertise in developing algorithms for protein discovery, engineering, or sequence analysis; deep knowledge of PLMs and sequence-structure-function relationships; experience analyzing NGS data from biological assays. Preferred skills include antibody discovery or engineering experience, familiarity with protein selection platforms, and proficiency with generative design and candidate ranking methods. High-value specifics: focus on therapeutic proteins, potential involvement in antibody discovery, and cross-functional collaboration to translate scientific needs into computational tools. Work setup and travel details are not specified.