Senior Data Science Analyst- Healthcare AI and Data Analyst (ML/DL/LLM)

We are seeking a talented and motivated Healthcare AI and Data Analyst to join our department, focusing on the development and application of Natural Language Processing (NLP), Large Language Models (LLM), and deep learning techniques to address various clinical challenges. This role is pivotal in advancing our healthcare organization's capabilities in AI-driven research and clinical applications. The ideal candidate will have a strong background in AI, machine learning, and data analytics, with a passion for transforming healthcare through technology. Key responsibilities include to design, develop, and implement NLP, LLM, and deep learning models to support different clinical applications. This includes data preprocessing, model training, and validation. The data analyst will assist faculty and research teams in conducting preliminary studies and experiments to establish new collaborations across disciplines. This position will also support the preparation of manuscripts for publication in peer-reviewed journals. This involves data analysis, visualization, interpretation of results, and drafting of the methodology and results sections related to AI and data analytics.

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.

May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required

May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.

Other responsibilities

• Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
• Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
• Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
• Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
• Leads the interpretation of data analysis and writing reports.

During the selection process you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview, a question will appear on your screen, and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question – Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps.

Qualifications

• Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data
• Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches
• May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care

Benefits

Responsibilities

• The ideal candidate will have a strong background in AI, machine learning, and data analytics, with a passion for transforming healthcare through technology
• Key responsibilities include to design, develop, and implement NLP, LLM, and deep learning models to support different clinical applications
• This includes data preprocessing, model training, and validation
• The data analyst will assist faculty and research teams in conducting preliminary studies and experiments to establish new collaborations across disciplines
• This position will also support the preparation of manuscripts for publication in peer-reviewed journals
• This involves data analysis, visualization, interpretation of results, and drafting of the methodology and results sections related to AI and data analytics
• Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities
• Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required
• May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques
• May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist
• Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data
• Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches
• Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning
• Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome
• Leads the interpretation of data analysis and writing reports