Postdoctoral Associate

George Washington University, United States

Updated: 4 days ago
Location: Washington, PENNSYLVANIA
Deadline: 22 Apr 2024

Posting Details

Please see Special Instructions for more details on GW jobs website.
Appointments are limited-term and are designed for those who have recently received a doctorate. Appointments are made to academic departments with the approval of the department head and may require senior officer approval. Appointments are usually for not less than one term and are normally not renewed beyond a total of five years. This appointment is not intended for long-term, indefinite, or career appointments.


I. POSITION INFORMATION


Job Description Summary:
A post-doc position in computational genomics and systems biology is available in the lab of Dr. Weiqun Peng at the George Washington University, DC. The overarching theme of our research is gene regulation and epigenetics, aiming to both understand the gene regulatory networks’ fundamental design principles and identify specific mechanistic implementations in immune and cancer systems and developmental processes. The research in the lab includes close collaborations with experimental groups and the development of computational methods, with a focus on integrative analysis of multi-omics data (including those for transcriptome, epigenome, and 3D genome). Approaches include statistical modeling, advanced machine learning and biophysics-inspired principled methodologies. Recent representative work from the lab includes:
CTCF mediates CD8+ effector differentiation through dynamic redistribution and genomic reorganization, J Liu et al., Journal of Experimental Medicine, 2023
 Tcf1–CTCF cooperativity shapes genomic architecture to promote CD8+ T cell homeostasis, Shan Q et al. Nature Immunology, 2022
 Tcf1 and Lef1 provide constant supervision to mature CD8+ T cell identity and function by organizing genomic architecture, Shan Q et al. Nature Communications, 2021
 Transcriptome-wide stability analysis uncovers LARP4-mediated NFκB1 mRNA stabilization during T cell activation, Tian Y et al. Nucleic Acids Research, 2020
 Predicting CTCF-mediated chromatin interactions by integrating genomic and epigenomic features, Kai Y et al. Nature Communications, 2018
For additional information, please visit Dr. Peng’s website (https://blogs.gwu.edu/wpeng/).
Minimum Qualifications
This position requires Ph.D. in public health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and engagement in self-directed and guided research are required. Ability to meet deadlines and efficiently multitask is also required.
Desired Qualifications:
PhD in computational biology, (bio)statistics, biophysics, physical science or a similar field. Strong programming andquantitative background are required. Prior experience in computational genomics and/or machine-learning approaches are desirable. Candidates should have a genuine interest in solving biological problems using quantitative approaches. A successful candidate is expected to be highly motivated and a critical thinker. In addition, the candidate is expected to be able to communicate effectively and work well in a team.
Typical Hiring Range Commensurate with Experience

II. POSITION INFORMATION


Posting Number P010030
Job Open Date 03/20/2024
Job Close Date 04/22/2024
Part-time / Full-time PF Post Doc Full Time Exempt
Total Hours per Week 40
Work Schedule Monday through Friday, 8:30 AM – 5:00 PM.
Campus Location Foggy Bottom, Washington, D.C.
College/School/Department: Columbian College of Arts & Sciences (CCAS)
Expected duration of appointment 1 Year
Position Designation On-Campus
Special Instructions to Applicants
Employees in this subfamily are responsible for designing and conducting experiments in a controlled laboratory setting. Duties may include performing experiments, collecting, analyzing and reporting data.
Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search
EEO Statement

The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.

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