UNIV - Research Specialist III - Surgery: Institute of Surgical Sciences

Job Description Summary

The Research Specialist III will support artificial intelligence (AI) and machine learning (ML) research initiatives within the Institute of Surgical Sciences (ISS) in the Department of Surgery. Under the direction of faculty investigators, the incumbent will independently plan and organize research activities, conduct scientific literature reviews, analyze complex healthcare datasets using manual and computerized methods, prepare manuscripts and scholarly publications, and provide consultation regarding research methods and analytical approaches.

The position will collaborate with multidisciplinary teams of faculty, trainees, clinicians, and data scientists to advance translational and clinical research initiatives utilizing electronic health record, imaging, molecular, and other healthcare data sources.

The Research Specialist III will support artificial intelligence (AI) and machine learning (ML) research initiatives within the Institute of Surgical Sciences (ISS) in the Department of Surgery. Under the direction of faculty investigators, the incumbent will independently plan and organize research activities, conduct scientific literature reviews, analyze complex healthcare datasets using manual and computerized methods, prepare manuscripts and scholarly publications, and provide consultation regarding research methods and analytical approaches.

The position will collaborate with multidisciplinary teams of faculty, trainees, clinicians, and data scientists to advance translational and clinical research initiatives utilizing electronic health record, imaging, molecular, and other healthcare data sources.

Medical University of South Carolina (MUSC - Univ)

Employee

Research Grant

CC006113 COM SURG Surgical Sciences

Salary

University-GEN
09

52,100.

- 88,600.000

$52,100.00 - $70,300.00 - $88,600.00 (min - mid - max)

40

Pay Range: $52,100.00 - $70,300.00 - $88,600.00 (min - mid - max)

• 30% - Uses Manual and Computer Techniques to Analyze Research Data
• Acquire, clean, validate, and prepare complex healthcare data from electronic health records, clinical registries, imaging repositories, and other data sources for analysis.
• Perform statistical analyses, predictive modeling, machine learning, and other advanced analytical techniques using appropriate software and programming tools.
• Develop data visualizations, dashboards, reports, and presentations to communicate findings.
• Interpret analytical results and provide recommendations to research teams and leadership.
• Ensure data quality, integrity, security, and compliance with institutional policies and research regulations.
• 30% - Advises Principal Investigators and Others on Research Techniques and Procedures
• Serve as a resource to principal investigators, faculty, trainees, and research staff regarding study design, data management, statistical methods, and analytical approaches.
• Advise research teams on best practices for data acquisition, machine learning methodologies, and interpretation of results.
• Participate in research planning meetings and provide scientific and technical consultation.
• Assist in training and mentoring research personnel, students, and trainees in research methods and analytical techniques.
• Collaborate with investigators on the development of extramural grant applications and research proposals.
• 20% - Plans and Organizes Research Activities and Scientific Literature Review
• Conduct comprehensive reviews and evaluations of scientific and medical literature to support ongoing and proposed research projects.
• Identify emerging trends and advancements in artificial intelligence, machine learning, clinical informatics, and surgical research.
• Assist investigators in developing research questions, study objectives, protocols, and analytical plans.
• Organize and maintain literature databases, research documentation, and project records.
• 20% - Composes and Reviews Articles for Publication in Scientific Journals
• Draft, edit, and review manuscripts, abstracts, presentations, grant sections, and other scholarly materials.
• Coordinate publication activities and assist investigators with manuscript submission and revision processes.
• Conduct literature searches and prepare background materials to support publications and grant applications.
• Contribute to dissemination of research findings through peer-reviewed publications and scientific meetings.

• Bachelor's degree in computer science, data science, biomedical informatics, biostatistics, engineering, public health, health sciences, or a related quantitative field and at least two years of progressively responsible research experience.
• Advanced degree (Masters) in a quantitative, computational, or health-related discipline preferred.
• Experience applying artificial intelligence and machine learning methods to healthcare or biomedical data.
• Proficiency in Python, R, SQL, or similar…