Research Associate

Employment Type: Permanent Staff (EHRA NF)

Vacancy ID: NF0010089

Salary Range: Dependent on Qualifications/Experience

Position Summary/Description:

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.

Education and Experience:

Relevant genetics, genomics, computational immunology, systems biology and/or biological experience.

Essential Skills:

The candidate must be knowledgeable in biomedical, translational, clinical, or computational research activities. Experience working with research databases, biological datasets, or sequencing data.

AA/EEO Statement:

The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.