Research Technician (Bioinformatics Analyst), Computational Biology Core, Institute for Systems Genomics

University of Connecticut
Computational Biology Core, Institute for Systems Genomics
United States CT Storrs

Description

The Computational Biology Core within the Institute for Systems Genomics provides essential consulting, data analysis, and data interpretation services to advance research efforts. This role involves collaborating with faculty, post-doctoral fellows, and research staff on a wide array of biological topics, including high-throughput sequencing, analytic approaches, and workflow management. The analyst plays a key role in providing background on current techniques, managing multiple overlapping data analysis projects, providing general HPC user support, and providing regular workshop-based training to the broader community. The analyst will join a small team that supports research at all UConn campuses.

DUTIES AND RESPONSIBILITIES

• Support of the HPC resources
• Support users through installing open-source scientific software and troubleshooting user code
• Manage and update shared databases
• Develop curriculum and lead training workshops
• Conduct analysis of high throughput genomic data for the research community
• Triage requests received via Slack, and the e-mail-based help desk

APPOINTMENT TERMS
This temporary special payroll position requires 40 hours per week, with an hourly rate of $34.00. This short-term role (6 months) – the goal is to transition this position to a long-term staff scientist position for the right candidate.

The position can be fully on-site or hybrid (candidate must reside in the state of CT). This position does not offer sponsorship benefits.

TO APPLY
To apply, please email a resume and cover letter detailing your qualifications to karelyn.lambert@gmail.com, with the subject line "Research Technician Application." Screening will begin immediately.


Qualifications

MINIMUM QUALIFICATIONS

• M.A./M.S. 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)

PREFERRED QUALIFICATIONS

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


Start date

As soon as possible

How to Apply

To apply, please email a resume and cover letter detailing your qualifications to karelyn.lambert@gmail.com, with the subject line "Research Technician Application." Screening will begin immediately.


Contact

Karelyn Lambert
karelyn.lambert@gmail.com