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Description:
As a Senior Data Scientist, you will be responsible for designing, developing, and deploying advanced AI solutions tailored for the healthcare sector.
Your role will involve leveraging multimodal datasets to create innovative models.
You will collaborate with cross-functional teams to drive impactful outcomes.
You will effectively communicate complex findings to stakeholders.
This position requires a deep expertise in machine learning, generative AI, and natural language processing.
You should have a passion for addressing complex challenges using diverse data sources.
You will develop innovative AI solutions for healthcare applications, leveraging multimodal datasets.
You will develop foundation models using state-of-the-art architectures, algorithms, and technology from the AI community.
You will derive performance metrics and communicate them to stakeholders.
You will generate evidence to highlight the clinical relevance and value of AI solutions.
You will lead and manage independent projects, ensuring timely delivery and high-quality outcomes.
You will efficiently handle and process large, complex datasets.
Requirements:
You must have a strong background in deep learning, machine learning, and natural language processing.
You should have hands-on experience coding in Python and proficiency in packages such as PyTorch, TensorFlow, LangChain, LlamaIndex, scikit-learn, NumPy, SciPy, pandas, and matplotlib.
You need experience working with large datasets using SQL.
Familiarity with both open-source and proprietary generative AI models is required, including prompt engineering, fine-tuning, and retrieval-augmented generation.
A Master’s degree in a quantitative or analytical discipline (e.g., Computer Science, Data Science, Statistics, Mathematics) with at least 5 years of relevant experience is required; OR a Ph.D. in a related discipline with at least 3 years of relevant experience.
Benefits:
You will receive a competitive salary.
Comprehensive health benefits will be provided, including medical, dental, and vision coverage.
Flexible paid time off will be offered to support work-life balance.
There will be opportunities for professional development and career advancement.
You will work in a supportive and collaborative work environment.