Workshop: Virtual Chip-seq and ATAC-seq Data Analysis

Join us for a Virtual Workshop April 22-25, 2024: Chip-seq and ATAC-seq Data Analysis

Discover the Dynamics of DNA-Protein Interactions and Chromatin Accessibility: Join Our ChIP-seq and ATAC-seq Data Analysis

Elevate your research and uncover the secrets of the genome with our hands-on workshop on ChIP-seq and ATAC-seq data analysis. Designed for researchers, bioinformaticians, and anyone passionate about genomic science, this workshop will guide you through the intricacies of analyzing chromatin immunoprecipitation sequencing (ChIP-seq) and Assay for Transposase-Accessible Chromatin sequencing (ATAC-seq) data.

Research Technician – Computational Biology Core

Research Technician
Computational Biology Core, Institute for Systems Genomics

The UConn Institute for Systems Genomics is seeking a research assistant to support the work of its Computational Biology Core. The Core supports the research mission of the University of Connecticut through a mix of paid research projects, project support and consultation, training workshops and the management of a high performance computing (HPC) facility along with providing support for the HPC user base.


  • Support of the HPC facility
  • Support users through installing open-source scientific software and trouble-shooting user code
  • Manage and update shared databases
  • Support online workshops
  • Triage requests received via e-mail, slack, and our help desk


  • B.A./B.S. or higher in computational or biological sciences
  • Experience with analyzing high-throughput sequence data
  • Proficiency with Linux
  • Comfort interacting with an HPC system
  • Strong presentation and communication skills
  • Positive attitude and ability to work as part of a team (multi-tasking extraordinaire)


  • Comfort with R and/or Python programming
  • Proficiency with open-source software installation



This temporary special payroll position requires 40 hours per week, with an hourly rate of $28.00. This short-term role (6 months – 1 year) may transition to a permanent role for the right candidate (staff scientist).

The position can be on-site, remote or hybrid (must be able to attend meetings and support all users during Eastern Standard Time working hours). This position does not offer sponsorship benefits.


To apply, please email a resume and cover letter detailing your qualifications to jill.wegrzyn@uconn.edu, with the subject line “Research Technician Application.” Screening will begin immediately.


Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.

The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.




RNAseq Analysis workflow (Overview)

Hello CBC Users!

Please join us for another Data Therapy session this Friday, February 21st at 10:30am in ESB 304.
We’ll be giving an overview of the RNASeq Analysis workflow.
There will also be time to help you with any other problems or questions you may have about the cluster or your data analyses.
If you want to join us remotely, follow this link.

Data Therapy (Friday, March 16th at 10:30am) Xanadu Resources

We will be discussing Xanadu cluster access and package installation (R, python). Please join us in the ESB building (ESB304) with your questions.

This session is ideal for you if

  • You are new to HPC and want to know how to use HPC Resources effectively.
  • Want to know how to request resources and write scripts
  • Manage jobs
  • How to manage and install Python and R packages

Want to join us remotely, follow the link http://s.uconn.edu/esb304webex