About Us
Genotrial is at the forefront of cutting-edge biotechnology research, leveraging advanced machine learning techniques to revolutionize drug discovery and development. We are seeking a talented and experienced Senior Machine Learning Engineer to join our innovative team.
Job Description
As a Senior Machine Learning Engineer at Genotrial, you will play a crucial role in developing and implementing state-of-the-art machine learning models to accelerate our drug discovery process. You will work closely with our bioinformatics and wet lab teams to create predictive models, analyze complex biological data, and optimize our AI-driven research pipeline.
Key Responsibilities
- Design, develop, and implement advanced machine learning algorithms and models
- Collaborate with cross-functional teams to integrate ML solutions into our drug discovery workflow
- Analyze and interpret large-scale biological and chemical datasets
- Optimize existing ML models for improved performance and scalability
- Stay up-to-date with the latest advancements in ML and AI, particularly in the field of drug discovery
- Mentor junior team members and contribute to the overall growth of the ML team
Requirements
- Master's or PhD in Computer Science, Machine Learning, or a related field
- 5+ years of experience in developing and implementing machine learning models
- Strong programming skills in Python, with experience in ML frameworks such as TensorFlow or PyTorch
- Expertise in deep learning, reinforcement learning, and other advanced ML techniques
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure)
- Familiarity with bioinformatics tools and databases is a plus
- Excellent problem-solving skills and ability to work in a fast-paced environment
- Strong communication skills and ability to explain complex concepts to non-technical stakeholders