Abalone Bio · 2 weeks ago
ML Research Consultant (AB2026-101)
United States
Full-time
Remote
Mid, Senior Level
$125/hr - $250/hr
2+ years expAbalone 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.
BiotechnologyHealth CareProduct Research
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
Qualification
Required
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
Preferred
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
Abalone Bio
Abalone Bio develops pharmacologically antibody drugs to successfully treat metaolic and inflammatory diseases where other drugs fail
11-50 employees
H1B Sponsorship
Abalone Bio has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Early StageTotal Funding
$12.87MKey Investors
National Science Foundation
2024-05-01Seed· $7.6M
2021-07-31Seed· $2.8M
2020-03-16Seed· $1.15M
Leadership Team
Richard Yu
Co-founder and CEO
Recent News
EIN Presswire
2026-01-06
EIN Presswire
2025-10-31
Google Patent
2025-05-04
Company data provided by crunchbase