The Research Associate supports the collection, organization, analysis, and management of clinical and research data generated through the Center for Generative Immunotherapy (CGI). Working closely with scientists, clinicians, and research teams, the position assists with processing and maintaining a variety of datasets, including patient information, laboratory results, genomic data, immune profiling data, and other research-related information. The individual helps ensure that data are accurate, complete, well-organized, and readily available to support ongoing research and clinical studies. The position contributes to the development and maintenance of standardized data analysis processes, databases, and reporting tools that allow researchers to efficiently use information generated from clinical trials and translational research activities. The Research Associate assists with data quality reviews, data integration efforts, and routine analyses that support the identification of biological markers, evaluation of patient responses to therapy, optimization of personalized cancer vaccines, and assessment of immune responses to investigational treatments. This role is essential to the success of CGI’s mission to accelerate the development and clinical testing of AI-designed therapeutics and RNA-based immunotherapies. By helping manage and analyze large volumes of clinical, molecular, and laboratory data, the Research Associate enables investigators to make informed decisions, monitor study progress, evaluate treatment outcomes, and generate the high-quality data necessary to support scientific discoveries, regulatory requirements, and future clinical advancements. The position also helps ensure that data generated across multiple clinical trials and research programs are collected consistently, stored securely, and shared effectively among collaborators, supporting the rapid translation of research findings into improved cancer treatments. This position will interface with a multidisciplinary team, including computational scientists, immunologists, clinical investigators, data scientists, and other research and administrative staff.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed