
Lead AI Data Analyst
1 week ago
Unlock Advanced Insights with Machine Learning
We are seeking a talented and motivated Senior Machine Learning Scientist to join our team, contributing to the development of cutting-edge ML solutions for analyzing complex biological datasets.
Key Responsibilities:
- Design, implement, and optimize machine learning algorithms for analyzing biological data, including genomics, transcriptomics, mass spec, and imaging datasets.
- Develop approaches to integrate diverse data types (e.g., multi-omics, clinical, imaging) to derive meaningful biological insights.
- Stay updated with state-of-the-art ML methods and their applications in life sciences to propose innovative solutions.
- Work closely with bioinformaticians, data scientists, and domain experts to ensure seamless integration of ML models into workflows.
- Optimize and deploy ML models on cloud platforms for scalable analysis.
Qualifications:
- Master's or Bachelor's & 3-4 years experience in Machine Learning, Computer Science, Bioinformatics, Computational Biology, or a related field.
- Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, deep learning) and statistical methods.
- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong problem-solving skills with an aptitude for interpreting complex biological data.
- Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
What We Offer:
- Opportunity to work at the intersection of machine learning and life sciences.
- Collaborative and dynamic work environment.
- Chance to contribute to groundbreaking research and projects.
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