The UMGC Collaborative Projects Group specializes in bespoke research solutions for University of Minnesota researchers through scientific consulting and execution of a broad array of complex genetics and genomics research projects. The team is comprised of PhD-level scientists with backgrounds spanning microbiology, cancer and plant biology, genotyping, next-generation sequencing, and epigenetics. By focusing on emerging molecular technologies that extend beyond the scope of standard services at the UMGC, the group designs and implements tailored research strategies to achieve specific research goals for the PI, typically in the form of multi-month projects.
Fernanda Rodriguez, PhD – Collaborative Projects Group Lead
Jon Badalamenti, PhD – Research Scientist
Pat Grady, PhD – Research Scientist
Given the rapid proliferation of genomics technologies, as well as experimental and data-driven methods, it can be challenging for researchers – especially for research groups not rooted in genomics – to stay updated on the most current advances that would support their research goals. In addition, when the project is narrow in genomics scope in comparison to the overall research goals of the PI, it can be difficult to attract a genomics-driven post-doc versed in both wet-lab and analysis.
With a collaborative project contract, a PI can access the skills of a highly-trained genomics postdoc for a defined project, thereby avoiding the need to recruit and hire a full-time postdoc for what might be a less-than-full-time need. In turn, the collaborative group scientist, working within the UMGC, will be able to carry out a complex genomics project efficiently and with expert assistance from the 30+ “operational” staff of the UMGC. This frees the investigator from having to independently contact different UMGC staff who may be involved in the completion of the project.
Although the UMGC offers a diverse range of end-to-end services with well-defined inputs, protocols, and deliverables, it is not ideal for labs requiring a more customized approach that extend beyond the scope of standard services. A collaborative project provides in-depth project consultation, experiment design, methods development, data generation, and analysis, that follow a Statement of Work (SOW) defining goals and milestones of the project, unlike the sample-in, data-out model of standard services. A collaborative project four attributes that differ from standard services:
If you think a collaborative project could benefit your research, email the Collaborative Projects Group with a brief description of your project, and the group will contact you to set-up a no-cost consultation.