RESEARCH ASSOCIATE 1-Myeloma

About the Role

The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Research Associate 1- Myeloma to work at the UHealth campus in Miami, Fl. This role supports research activities for the assigned division by conducting laboratory experiments on assigned research projects, aiming to advance expertise through continued education, training, and research.

The Research Associate 1 within the Sylvester Myeloma Institute (SMI) will support active translational and clinical research focused on improving outcomes for patients with newly diagnosed multiple myeloma. The candidate will assist with the integration and analysis of clinical, demographic, therapeutic, genomic, and measurable residual disease (MRD) data using artificial intelligence–driven approaches to support predictive modeling and outcomes research.

Key Responsibilities

• Understands and interprets research protocols and procedures.
• Participates in the publication of significant results.
• Maintains an overview of relevant research findings.
• Ensures all research is undertaken according to good research practice.
• Keeps abreast of current publications relative to methods, techniques, and developments within the area of research.
• Collects, prepares, analyzes, dissects, and evaluates specimens or tissue cultures.
• Operates and maintains laboratory equipment.
• Performs a variety of routine assays, tests, and studies.
• Performs calculations to complete research test results, collects data, and performs statistical analysis of laboratory results.
• Adheres to University and unit-level policies and procedures and safeguards University assets.
• Assists with data abstraction.
• Assists with database management.
• Assists with statistical analysis.
• Collaborates with multidisciplinary research teams to facilitate patient-specific, tailored therapeutic decision-making.
• Contributes to manuscript preparation.
• Contributes to research reporting.
• Contributes to ongoing grant-supported initiatives within the institute.

Requirements & Tech Stack

• Bachelor’s Degree in a relevant field.
• No Prior Experience Required.
• Skill in completing assignments accurately and with attention to detail.
• Ability to analyze, organize and prioritize work under pressure while meeting deadlines.
• Ability to process and handle confidential information with discretion.
• Ability to work evenings, nights, and weekends as necessary.
• Commitment to the University’s core values.
• Ability to work independently and/or in a collaborative environment.
• Familiarity with artificial intelligence–driven approaches for data analysis.
• Experience with data abstraction, database management, and statistical analysis is beneficial for the department-specific functions.
• Experience with translational and clinical research is beneficial.
• Experience with genomic data and measurable residual disease (MRD) data is beneficial.