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Principal Data Scientist
1 month ago
We are seeking a highly skilled Principal Data Scientist to join our team at the Wellcome Sanger Institute. As a key member of our AI/ML Faculty group, you will be responsible for designing and developing cutting-edge machine learning models to analyze and interpret large-scale single-cell datasets.
Your primary focus will be on developing and deploying machine learning algorithms and frameworks to enable understanding of single-cell data and its application in drug discovery. You will work closely with our interdisciplinary team of life scientists and computer/ML scientists to advance biological research through foundational models.
Key Responsibilities:
- Design and develop machine learning models to analyze and interpret large-scale single-cell datasets.
- Collaborate with team members to propose, develop, and evaluate new machine learning models.
- Work with Ph.D. students and postdocs to develop solutions for interdisciplinary scientific problems in biology.
- Contribute to writing scientific papers on biotechnology and biology.
- Present research and analysis pipelines to internal and external audiences.
Requirements:
- Ph.D. or M.Sc. with equivalent research experience in a relevant quantitative discipline.
- Strong knowledge of Python, including core data science libraries such as Scikit-Learn, SciPy, TensorFlow, and PyTorch.
- Expertise in machine learning algorithms and frameworks, with experience in designing, training, and deploying ML models.
- Proficiency in handling and processing large datasets, including techniques for data cleaning, feature engineering, and data augmentation.
- Experience with high-performance computing environments, including the use of GPUs for training large-scale machine learning models.
What We Offer:
- A dynamic and collaborative work environment.
- The opportunity to work on cutting-edge machine learning projects.
- A competitive salary and benefits package.
- The chance to contribute to the advancement of biological research.