Postdoctoral Associate

Baylor College of Medicine

Houston, TX

Job posting number: #7116148 (Ref:13861-en_US)

Posted: November 16, 2022

Application Deadline: Open Until Filled

Job Description


The Chen laboratory in the Department of Molecular and Human Genetics at Baylor College of Medicine, seeks a talented and self-driven postdoctoral associate to join our group.  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.  In addition, our lab is leading the effort of generating the spatially resolved single cell atlas of the human eye as part of the human cell atlas (HCA) project supported by the Chan Zuckerberg Initiative (CZI).  Members in our group have diverse backgrounds, such as genetics, medicine, engineering, computer, and statistics.  Many cutting-edge technologies are utilized in our research, such as next-generation sequencing, single cell multi-omics, single cell spatial transcriptome, and deep learning, in combination with cell culture, retinal organoid, mice, and other animal models, offering excellent opportunities in cross-training to further expand your skills.


The perspective postdocs who are interested in developing and applying new single cell multi-omics analysis tools to understand the genetics and genomics of the human visual system, generate the cell atlas and neuron connectivity and function of the eye are encouraged to apply.  To find out more about our lab research and our team, please visit our lab website at

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 publish results in research journals. 
  • Maintains laboratory operations.
  • Works closely with other lab members and our collaborators in the network to develop software tools and perform analysis of single-cell multi-omics, spatial transcriptomic data, and other omics data to generate the cell atlas of the human visual system and characterize diseases at the single-cell resolution.  

Minimum Qualifications

  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

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.  
  • Experience in both wet and dry lab.



Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.


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



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.

Apply Now

Please mention to the employer that you saw this ad on

Job posting number:#7116148 (Ref:13861-en_US)
Application Deadline:Open Until Filled
Employer Location:Baylor College of Medicine
United States
More jobs from this employer
Institution Website, an AmeriCareers ® service.