We are a cutting-edge biotech company dedicated to revolutionizing drug discovery and development through the integration of machine learning and computational chemistry. We are seeking a highly skilled and motivated Machine Learning Engineer to join our team and play a pivotal role in building our computational chemistry engine for drug discovery.
Development of Computational Chemistry Engine:
- Design, develop, and optimize a state-of-the-art computational chemistry engine tailored for drug discovery, leveraging machine learning techniques to enhance accuracy and efficiency.
Machine Learning Model Development:
- Build and deploy machine learning models for various stages of drug discovery, incorporating predictive modeling, clustering, and classification algorithms to analyze biological and chemical data.
Integration of Machine Learning into Computational Chemistry:
- Apply machine learning methodologies to traditional computational chemistry processes, integrating data-driven insights to enhance predictive modeling and accelerate drug discovery timelines.
- Utilize cheminformatics principles and techniques to organize, analyze, and extract meaningful insights from chemical and biological data, contributing to the development of novel drug candidates.
Collaboration and Cross-Functional Communication:
- Collaborate closely with computational chemists, biologists, and other cross-functional teams to understand their requirements and integrate machine learning solutions effectively into the drug discovery pipeline.
Model Deployment and Productionization:
- Develop strategies for deploying machine learning models into production environments, ensuring scalability, reliability, and seamless integration with existing systems.
- Continuously optimize machine learning models and algorithms to improve prediction accuracy, computational efficiency, and overall system performance.
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Computational Chemistry, Bioinformatics, or a related field.
- Proven experience in building and deploying machine learning models in a production environment, preferably in the biotech or pharmaceutical industry.
- Strong expertise in computational chemistry, cheminformatics, and traditional computational chemistry techniques.
- Proficiency in programming languages such as Python, and experience with machine learning frameworks and libraries like TensorFlow, PyTorch, scikit-learn, etc.
- Knowledge of drug discovery processes, including target identification, lead optimization, and ADMET properties.
- Excellent problem-solving skills and the ability to work in a collaborative, fast-paced team environment.
??????? Preferred Skills:
- Familiarity with cloud computing platforms and technologies.
- Experience in working with large-scale biological and chemical datasets.
- Knowledge of regulatory requirements and best practices in drug discovery.