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
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
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.
