Machine Learning Engineer - Biologics R&D

Location: Worcester, MA
Salary: $75.00 USD Hourly - $85.00 USD Hourly
Description:
One of our clients is seeking a Machine Learning Engineer to design and implement advanced ML/AI pipelines supporting biologics and genetic medicine R&D.

6-12 month contract, strong potential for extensions

Hybrid in Worcester, MA (3 days/week onsite required)

Key Responsibilities

• Design and implement ML pipelines to assess biologics developability, immunogenicity, and manufacturability.
• Build, tune, and deploy models using protein sequences, structures, and multi-modal omics datasets.
• Collaborate with data engineers to define model-ready datasets and data schemas.
• Apply deep learning, transformers, graph neural networks, and probabilistic models.
• Automate training, validation, and deployment using SageMaker, MLFlow, or similar tools.
• Ensure reproducibility and traceability of models in regulated environments.

Required Qualifications

• 5+ years of experience in applied machine learning or computational biology.
• Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, HuggingFace Transformers).
• Experience building ML pipelines in cloud environments (preferably AWS).
• Understanding of protein structure, antibody sequences, or biologics.
• Familiarity with data versioning, experiment tracking, and MLOps best practices.

Preferred Qualifications

• Experience with structure-based modeling or AlphaFold-derived features.
• Knowledge of LLMs and embeddings for protein/gene sequences.
• Experience integrating public databases (e.g., IEDB, UniProt, SAbDab, PDB).
• Familiarity with GxP, FAIR data principles, or regulated model development.

If this is something you'd be interested in please send over a copy of your resume and I can give you a call.

Thank you

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