Job Listings

Assists investigators and/or other study staff in the implementation, coordination and conduct of behavioral research activities.

Assists investigators and/or other study staff in the implementation, coordination and conduct of behavioral research activities.

Analyze sequencing data from RNA-seq, RNA methylation (m6A)-seq, m6A RNA RIP-seq, RNA-CLIP-seq, and metabolome studies, and develop new analyzing tools using R, Python and other coding programs when necessary. Review and revise existing analysis tools and protocols. Perform statistical analysis of large sets of sequencing and metabolome data, and prepare figures for presentation, grant application and publication.

Manages the research data of a multi-year randomized controlled trial, designed to alter developmental origins of disease via reduction of prenatal stress exposure. This position interacts closely with multiple stakeholders within and outside of the study, including the scientific leads, operational sponsors, study participants, and other academic and clinical partners. The ideal candidate will have a demonstrated history of working independently with initiative and a strong sense of personal responsibility while maintaining a high standard managing complex data. Responsibilities include: Monitoring multiple systems to assure protocol adherence and data quality. Maintaining research data and preparing reports, preparing data files for analysis, and performing some independent statistical analysis of clinical research data for evaluation / process improvement purposes.

This position will support the Division of Neurosurgery population, epidemiology, and outcomes research programs with expert statistical analysis and reporting. 

Based on specific research program needs, patient facing vs. data administrative responsibilities will vary. Coordinates all clinical research activities with moderate supervision.

Breast cancer affects 1 in 8 women over their lifetime, and is the second most common cancer in women. Tissue expansion (TE) is the most common technique for breast reconstruction after mastectomy. Unfortunately, the rate of complications with TE for breast reconstruction can be 15% or higher which can result in the need for reoperation and possible poor cosmetic results with negative impacts on patients’ body image. Growing skin in shape and amount adequate to achieve a natural breast shape is a key need, as successful reconstruction has been shown to markedly improve survivors’ quality of life. The porcine model has confirmed predictions made with our computational model, that the deformation is heterogeneous, with the apex of the expander undergoing the largest strains, and that the growth patterns reflect the deformation contours. In this project we will leverage our unique animal model to accurately measure the tissue-scale deformation and growth, together with the corresponding cell behavior and microstructure remodeling at specific time points during TE.   The position will require 40 hours a week and will report to Arun Gosain, Chief of Plastic Surgery. Your time will be spent collaborating with faculty members in the performance and analysis of research studies related to the molecular mechanism of tissue expansion, participating in the design and execution of basic science projects, and conducting experiment tests & procedures & processes & data analysis. Additionally, you will review and revise existing research methodologies, develop new protocols, and ensure overall lab compliance with all associated rules and regulations.