Postdoctoral Associate - Single cell multi-omics - Molecular & Human Genetics - R. Chen (90006737)

Baylor College of Medicine

Houston, TX

Job posting number: #7086343 (Ref:8810-en_US)

Posted: September 29, 2021

Application Deadline: Open Until Filled

Job Description

Summary

The Chen laboratory in the Department of Molecular and Human Genetics, Baylor College of Medicine, seeks a talented and self-driven post-doctoral fellow to join our group.  Leading the effort of generating single cell spatially resolved cell atlas of the human visual system, our group is newly funded by multiple grants from CZI as part of the human cell atlas network (https://www.humancellatlas.org/).  The perspective postdoc fellow will work closely with other lab members and our collaborators in the network to develop software tools and perform analysis of single-cell multi-omics and spatial transcriptomic data to generate the cell atlas of the human visual system and characterize diseases at the single-cell resolution.  With a combination of both experimental and computational approaches, our group provides an excellent environment for interdisciplinary research focusing on genetics and genomics in the visual system.  Members in our group have diverse backgrounds, such as genetics, medicine, engineering, computer science, and statistics.  Many cutting-edge technologies are utilized in our research, such as next-generation sequencing, single cell multi-omics, and deep learning, in combination with cell culture, retinal organoid, and mice and non-human primate models, offering excellent opportunities in cross-training to further expand your skills.

Job Duties

  • Plans, directs and conducts specialized and advanced research experiments.
  • Evaluates and analyzes data.
  • Establishes new research protocols and procedures.
  • Summarizes research findings and publishes results in research journals. 
  • Responsible for laboratory operations.
  • Supervises research staff.

Minimum Qualifications

  •  MD or Ph.D. in Basic Science, Health Science, or a related field.

Preferred Qualifications

  • Ph.D. or equivalent in bioinformatics, biostatistics, computer science or other related disciplines.
  • Previous experience in analyzing large scale next generation sequencing and/or single cell omics data is a plus.

 

 

 

 

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

 8810

PD; CA 



Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.


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