ABOUT THE PROJECT

Project Description

UCSF has a Molecular Tumor Board (MTB) that meets twice a month where clinicians can come and ask clinician-scientists with expertise in genomics questions about how to apply the results of their patient's genomic tests to patient care.

The board members will pull together a few research slides summarizing their recommendation. The program manager will then write up a detailed recommendation report summarizing the boards findings to deliver back to the requesting clinician. Currently this is completely manual and many of the same genes/variant pop up. We would like to build a library of slides that the board members can use as a resource instead of having to create new slides de novo every time AND we would like to build a modular text library to significantly cut down on the amount of time currently spent in writing the recommendation reports (e.g. 3 hours per report). By developing these resources, we can scale and therefore discuss and help more patients and clinicians.

Funding

Definitely not

LOOKING FOR

Required Skills

• Python
• R
• SQL

Full stack engineer preferred

Acceptable Level of Education (eg. Undergrad, Grad Students, Post Docs, MD, PhD)

Undergraduate students, Graduate students, Postgraduates, Full-time workers who volunteer time

CONTACT

PI/Research group

Molecular Oncology Initiative

Contact

Michelle Turski, [email protected]