Prospective Postdoctoral Fellow
Listed on 2026-07-05
-
Research/Development
Research Scientist, Data Scientist, Biomedical Science
The Ren Lab is located in the Gordon Center for Medical Imaging at Massachusetts General Hospital and Harvard Medical School. Leveraging a full spectrum of state-of-the-art research facilities and collaborations with many world-renowned institutions in the greater Boston area, including MIT, Harvard, Broad, and BU, the lab enjoys a highly interdisciplinary and intellectually stimulating scientific environment.
The lab is committed to providing a nurturing environment for passionate scientists and engineers to come together and engage in multidisciplinary collaborations to address the most pressing challenges at the forefront of today’s biology and medicine. The lab values integrity, curiosity, and mutually enriching mentorship focusing on all members’ personal and professional growth.
The Ren Lab constantly seeks highly motivated talents at all levels who share our values and passion to join the team. Interested candidates, especially those from underrepresented groups, are welcome to contact Dr. Ren directly with a CV and a brief description of their interests.
The lab currently seeks highly motivated postdoctoral fellows to work at the interfaces of imaging, nanotechnology, and computational science with broad biomedical applications, such as brain mapping and Alzheimer’s Disease. The goal of the lab is to understand complex biological systems by developing large-scale imaging and mapping methodologies. The team integrates photonic, biochemical, and computational approaches to enable quantitative investigation in fully-assembled biosystems at the ‘ground truth’ level, addressing the fundamentals of these systems in a systematic and scalable manner.
The Ren Lab also aims to develop enabling medical tools empowered by new photonic devices and to integrate complementary modalities for a wide range of clinical applications, such as intraoperative guidance.
The lab values mutually enriching mentoring with a focus on fellows’ career development. The fellows will be encouraged and supported to launch independent research via developing collaborations with multiple faculty members, supervising junior trainees, teaching graduate seminars, and writing grants.
Prospective candidates should have the drive and creativity to lead their projects independently. The fellows will have the opportunity to work on several highly innovative and promising research directions:
- Optical:
High-throughput volumetric imaging - Biochemical:
Long-lasting nano-scale proteomic contrast synthesis - Computational:
Cross-scale cross-modality image validation, graph analysis, and topological abstraction - Translational: multimodal systems and miniaturized devices
The fellows will be appointed through Harvard Medical School. Positions are available immediately and fully funded with benefits. The initial appointment is for two years with the possibility of continuation. Interested candidates are to contact Dr. Ren (jrenvard.edu) with a curriculum vitae and a cover letter describing research interests and experience.
Our work utilizing deep learning to reduce speckles is now online at bioRxiv.#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).