Location: Worcester, MA
Salary: $70.00 USD Hourly - $80.00 USD Hourly
Description: One of our clients in the biopharmaceutical industry is looking to hire a
Machine Learning Engineer. This role focuses on supporting
biologics and genetic medicine R&D by building and deploying advanced ML models on a
hybrid cloud (on-prem + AWS) platform.
1+ year contract with possibility for extensions
Hybrid schedule (3 days onsite in Worcester, MA per week)
Responsibilities- Build, optimize, and deploy machine learning models within a hybrid on-prem/AWS platform.
- Design and maintain ML pipelines for predicting biologics developability, immunogenicity, and manufacturability.
- Work with protein sequences, structures, and multi-modal omics datasets to develop predictive models.
- Implement and evaluate methods including deep learning, transformers, graph neural networks, and probabilistic models.
- Automate training, validation, and deployment workflows using tools such as SageMaker and MLflow.
- Ensure reproducibility, traceability, and compliance within regulated scientific environments.
Qualifications- 5+ years of experience in applied machine learning or computational biology.
- Strong proficiency in Python, SQL, and common ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face).
- Hands-on experience deploying models and building ML pipelines in AWS or hybrid cloud environments.
- Understanding of protein structure, antibody sequences, or biologics-related domain knowledge.
- Experience with ML operations, including model versioning, experiment tracking, and CI/CD workflows.
- Ability to work collaboratively with scientists, bioinformaticians, and cloud/data engineers.
- Strong communication skills with the ability to translate scientific problems into computational solutions.
If this is something you'd be interested in please send over a copy of your resume and I can give you a call.
Thanks
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