University of Massachusetts Chan Medical School, Department of Population and Quantitative Health Sciences
Position ID:
UMassChan-PQHS-POSTDOC1 [#31657, 2026-49327]
Position Title:
Postdoctoral Associate in AI-Genomics
Position Type:
Postdoctoral
Position Location:
Worcester, Massachusetts 01605, United States of America
Subject Areas:
Appl Deadline:
2026/08/09 23:59:59 (posted 2026/02/09, listed until 2026/08/09)
Position Description:
Position Description
PPost Doc - Open Rank Job Number: 2026-49327 Category: Research Location: Worcester, MA Shift: Day Exempt/Non-Exempt: Exempt Business Unit: UMass Chan Medical School Department: School - Population & Quantitative Health Sciences - W455000 Job Type: Full-Time Union Code: Non-Union Position-W63-Residents/Post Docs Num. Openings: 1 Post Date: Feb. 6, 2026 Work Location: Hybrid Salary Minimum: USD $62,232.00/Yr. Salary Maximum: USD $75,564.00/Yr. GENERAL SUMMARY OF POSITION: Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865). The Zhou Lab at UMass Chan Medical School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop computational methods and scalable pipelines to decode noncoding RNAs and their epigenetic modifications from diverse high-throughput sequencing data, including bulk, single-cell, and long-read sequencing data. The successful candidate will benefit from collaboration with world-class biologists and physicians from UMass and Harvard medical area, and other prestigious institutes. To ensure the success of career development of postdoc, Dr. Zhou will tailor the postdoc trainings to meet the career goals of the selected candidate. REQUIRED QUALIFICATIONS: •Ph.D. (or imminent defense) in Computational Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field. •Strong programming skills in at least one of: Python, R, C/C++, or Perl; proficient with Unix/Linux. •Experience with deep learning, statistical modeling, or AI applications to biological data. •Familiarity with transcriptomic technologies, ideally single cell RNA seq or long read sequencing. •Demonstrated ability to conduct independent research and publish as first/co author. •Excellent communication, teamwork, and project management skills Application Instructions: Please email the following to Dr. Chan Zhou at chan.zhou@umassmed.edu (subject line: “Postdoc Application – Your Name”): 1.Cover Letter: Summarize your research background, interests, and career objectives. 2.Curriculum Vitae: Include publication list and detailed computational skill set. 3.References: Contact information for at least two referees (email and phone). Equal Opportunity Employer UMass Chan Medical School is committed to fostering a diverse and inclusive environment. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.As an equal opportunity and affirmative action employer, UMass Chan recognizes the added value of a diverse community and encourages applications from individuals with varied experiences, perspectives, and backgrounds.
Application Materials Required:
Submit the following items online at this website to complete your application:
- Cover letter
- Curriculum Vitae
- Three references (no actual letters, just names and email addresses
)
And anything else requested in the position description.
Further Info:
508-856-8999
368 Plantation Street
Albert Sherman Center
Worcester, MA 01605
Albert Sherman Center
Worcester, MA 01605