Search Close Search
Search Close Search
Page Menu

Informatics

The Research Informatics Core supports investigators by creating innovative solutions to enable the seamless integration of the multiple layers of medical expertise with the vast landscape that is this dense data environment. Together, the investigator and RIC produce the rigorous analysis outcomes necessary for data-intensive research projects.  

Our Services

Clinical Data Access: Provide clinical data from UMass Memorial Health’s electronic health system (Epic) for feasibility assessments, patient recruitments or retrospective studies.

Data Engineering, Data Analytics, and Visualization:  Organize and integrate data collected from various sources. Provide statistical, experimental design, analytics, and project management support.

Data Science: Create solutions to complex clinical data-related problems using artificial intelligence methodologies such as natural language processing or machine learning.

Preparation for Grant Proposal: Develop data plan design, access to aggregate-limited data. Assist with budgeting, letters of support, security, and grant writing relating to informatics.

Contact Us

Regardless of your unique requirements, we are confident we can help you. So, please reach out to us now. We look forward to starting a conversation. We recommend you schedule an initial free consultation appointment with us to discuss your needs. To schedule a consultation with us, please email: ResearchInformaticsCore@Umassmed.edu

The Bioinformatics Core designs best of breed data processing pipelines for a variety of data types, particularly sequencing technologies (including RNA-Sequencing and ChIP-Seq).  Pipelines designed and tested by laboratories in cooperation with the Core are immediately made available to the larger community through our workflow engine.

The Massachusetts Green High Performance Computing Center provides state-of-the-art infrastructure for computationally intensive research that is indispensable in the increasingly sensor and data-rich environments of modern science and engineering.