Multiple Myeloma Research Fellow Award

All applications are due on Friday, August 28th, 2020 at 10:00 PM EST and must be submitted via ProposalCENTRAL (https://proposalCENTRAL.altum.com). No paper applications will be accepted.
The goal of this initiative is to engage and support young investigators entering the field of multiple myeloma while advancing the understanding of myeloma disease biology and disease risk, treatment and response and drug resistance.
Researchers who hold a Ph.D., M.D. or equivalent degree at the post-doctorate, clinical fellow, or junior faculty level are encouraged to apply.
Postdoctoral and medical fellows applying for the award must work under the supervision of a research mentor in the multiple myeloma field. All applicants must have obtained their highest degree within the last 7 years and may not hold a position higher than Assistant Professor. Investigators at the level of assistant professor who are beginning studies in the multiple myeloma field and are applying for this award must have a research sponsor at their institution who is in the multiple myeloma field, and can provide guidance to the applicant in the area of the project proposed

The MMRF is now seeking applications in the following key areas of myeloma research for the 2020 MMRF Research Fellows Awards:  
 
• Novel therapies and targets: Drive innovation in myeloma therapy through the identification and/or development of new therapies and their biological rationale, including approaches to targeting key drivers of clonal evolution and genomic modulation and instability (tumor and non-tumor) that are considered non-druggable or poorly druggable.
 
• Disease monitoring: Next generation advances in liquid biopsies; monitoring of high-risk disease, immune competence and responsiveness to immune therapy, and mechanisms of response and resistance to existing therapies in bone marrow and in the periphery.
 
• Data solutions: Analysis of the bone marrow microenvironment in multiple myeloma and the development and application of bioinformatics solutions for integrating complex, high dimensional global and single-cell data.