Postdoctoral fellow in Spatial Genomics
Job Descriptions We are looking for an enthusiastic postdoctoral fellow with an interest in spatial omics. Ideally, this person has prior experience in one or more of the following areas:
- (Spatial) Data science, Statistics or Genomics
- Software or method development (R / Python / C++ / JavaScript / …)
- Imaging or image processing
- Primary tissue and sample processing
- In vitro cancer modeling
Our main focus is on breast cancer and associated cancer disparities that are observed in our underserved patient populations at Boston Medical Center (BMC). We also collaborate on projects that investigate other cancer types (e.g. osteosarcoma) or important organs in development (e.g. fetal liver). We offer a unique and inclusive environment and the opportunity to explore and work with new cutting-edge tools. Our approaches encompass a combination of both experimental and computational instruments and allow you to grow as a scientist and develop the skills necessary for interdisciplinary research. In this role the fellow can also directly interact with our excellent (under)graduate students and provide mentorship and support where needed. Each individual will be given the opportunity to carve out an individual growth trajectory that matches their previous expertise and future goals.
Responsibilities
- Design, conduct, troubleshoot, and/or validate experiments
- Data generation, interpretation, and presentation
- Development of computational pipelines for data analysis
- Training and mentorship of junior lab members
- Stay up to date with the latest developments in cancer biology and spatial transcriptomics
- Develop and write research and review papers, present at scientific conferences
- Apply for grants
Preferred Education and Skills
- Candidate must have a PhD in a related field (biology, statistics, bioengineering, comp. science, …)
- Candidate must have high motivation to learn
- Candidate must be able to work independently and collaboratively
Who we are We are a young lab situated at the Boston University School of Medicine (BUSM) and we closely collaborate with dedicated clinicians at BMC. We make use of state-of-the-art facilities and emerging spatial technologies (e.g. MERFISH) and apply them directly on primary tumor tissues. We aim to mimic biological processes using 3D multi-cellular in vitro models, such as (tumor) organoids and spheroids. These systems can then be challenged through genetic engineering and be profiled using a wide array of genomics and imaging technologies.
For more information please visit our website (www.drieslab.com) or email Ruben Dries at rdries@bu.edu. If interested, include both a CV and a letter of intent.
