Research Associate in Biology

About the role

The Department of Biology at the University of Virginia invites applications for a postdoctoral Research Associate to work in Dr. Drew Schield’s lab, focusing on speciation, adaptation, and sex chromosome evolution using genome-scale datasets of rattlesnakes (Crotalus). The position involves generating and analyzing long-read genome assemblies, pangenome graph analysis, leveraging existing whole‑genome sequencing and RNA‑seq data, participating in field collections, mentoring students, and contributing to presentations, publications, and teaching opportunities.

Responsibilities

• Lead generation and analysis of long‑read genome assemblies for rattlesnake populations in secondary contact.
• Conduct pangenome graph analysis to study nucleotide and structural variation underlying adaptive traits (e.g., venom, cryptic coloration) and sex chromosome structural diversity.
• Lead projects using existing whole‑genome sequencing and RNA‑seq datasets.
• Participate in annual field collecting trips.
• Mentor graduate and undergraduate students.
• Design and lead research integrating field, molecular, and computational components.
• Prepare conference presentations and publications.
• Gain teaching experience aligned with career goals.

Requirements

• Completion of a PhD in Biology or a related field by the appointment start date.
• Ideal start date between October 2026 and March 2027 (other dates considered for highly qualified applicants).
• One‑year appointment, renewable for up to two additional years contingent on funding and performance.

Qualifications

• Strong bioinformatics skills for processing and analyzing large genomic datasets.
• Knowledge of population genetics analyses, including demographic inference, signatures of selection, and detection of hybridization/introgression.
• Experience with genome assembly and annotation is preferred.
• Molecular laboratory skills: DNA/RNA extraction, library preparation, and ability to troubleshoot/refine protocols.

Skills

• Self‑driven with excellent data management skills.
• Strong verbal and written communication abilities.
• Ability to work collaboratively in a team.
• Record of scientific productivity.

Pay

The anticipated hiring salary is $60,000 - $65,000, commensurate with experience.