Senior Data Science Analyst- ML/DL/LLM
3 weeks ago
About Mayo Clinic
Mayo Clinic is a world-renowned healthcare organization that values innovation, diversity, and inclusion. As a leader in medical research and practice, we are committed to advancing the health and well-being of our patients and communities.
Job Summary
We are seeking a talented and motivated Data Scientist to join our team, focusing on the development and application of Natural Language Processing (NLP), Large Language Models (LLM), and deep learning techniques to address various clinical challenges.
Responsibilities
- Design, develop, and implement NLP, LLM, and deep learning models to support different clinical applications.
- Assist faculty and research teams in conducting preliminary studies and experiments to establish new collaborations across disciplines.
- Support the preparation of manuscripts for publication in peer-reviewed journals.
- Collaborate with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
Qualifications
The preferred candidate will possess a PhD or Master's degree with one year experience in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data.
Preferred Candidate
Demonstrated experience in developing NLP, LLM, and deep learning models, preferably in a healthcare or clinical research setting.
Proficiency in programming languages and tools commonly used in AI and data analysis, such as Python, R, TensorFlow, PyTorch, and relevant NLP libraries.
Strong analytical skills, with the ability to manage and analyze large datasets, and interpret complex data to derive meaningful insights.
Experience in scientific writing and manuscript preparation, with a track record of contributing to published research or technical reports.
Excellent communication and collaboration skills, with the ability to work effectively in multidisciplinary teams and support non-technical stakeholders.
Knowledge of healthcare data privacy regulations and ethical guidelines for AI applications in clinical settings.
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