[Remote] ML Research Consultant (AB2026-101)

Note: The job is a remote job and is open to candidates in USA. Abalone Bio is a biotech company pioneering the discovery and design of functionally active antibodies, focusing on G-protein coupled receptors. They are seeking a talented ML Research Consultant to work closely with their ML team to ideate, implement, and validate machine learning classifiers and generative models to improve their therapeutic design platform. Responsibilities • Evaluate Sequence-Function Models: Design, implement, and evaluate state-of-the-art machine learning models, including Protein Large Language Models (PLLMs), to predict functional activity of GPCR agonist antibodies • Implement Generative Models: Design, implement, and evaluate state-of-the-art generative models using Reinforcement Learning or Bayesian Optimization for *de novo* GPCR agonist antibody design • Experimentation: Design and execute rigorous ML experiments with clear hypotheses and documented outcomes and next steps Skills • Bachelor's or Master's (5+ years of experience) or Ph. D. degree (2+ years of experience) in Bioinformatics, Biophysics, Computational Biology, or a related quantitative field • Experience solving complex business problems in the life sciences using ML or statistical methods • Excellent communication skills particularly in the context of cross-functional life science teams • Understanding of modern deep learning architectures and optimization techniques as well as fundamentals of machine learning • 2+ years of hands-on experience developing deep learning models using frameworks like PyTorch • Strong proficiency in python and the scientific computing stack (NumPy, Pandas, scikit-learn) • Proficiency with software engineering best practices, version control (Git), and testing frameworks • Experience with Transformer architectures, Recurrent Neural Networks (RNNs), or Graph Neural Networks (GNNs) applied to biological sequence or molecular/structural data • Theoretical foundations and practical experience with methods in computational structural biology, e.g. protein structure prediction, molecular dynamics, coarse-grained modeling, etc • Experience with high-throughput screening data, particularly NGS analysis, flow cytometry, or other assays that link genotype to phenotype • Direct experience with Protein Large Language Models (PLLMs), generative modeling, and/or Reinforcement Learning (RL) in a protein engineering context • Background in developing models predicting antibody developability characteristics (e.g., stability, aggregation) Company Overview • Abalone Bio develops pharmacologically antibody drugs to successfully treat metaolic and inflammatory diseases where other drugs fail It was founded in 2017, and is headquartered in Emeryville, California, USA, with a workforce of 11-50 employees. Its website is Company H1B Sponsorship • Abalone Bio has a track record of offering H1B sponsorships, with 1 in 2024. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job