Postdoc: Genomics & Evolution in Drosophila

Texas A&M University; College Station (TX); On-site; USD 52,000 - 70,000; Full time

Benefits offered by this job

Health benefits (medical, prescription

Retirement plan

Paid holidays

Professional development

Job summary

Texas A&M University in College Station seeks a Postdoctoral Research Associate to investigate the genetic basis of phenotypic variation using Drosophila as a model. The role involves leading independent research, integrating molecular biology, genomics, and computational biology, and mentoring students within a collaborative lab environment.

Responsibilities include developing analytical workflows, analyzing sequencing data, and contributing to publications and conferences.

Qualifications

• PhD in a related field required.
• Demonstrated research productivity via peer‑reviewed publications.
• Experience in molecular biology, functional genomics, genetics, genome engineering, bioinformatics, population genomics, evolutionary genomics, or pangenomics.

Responsibilities

• Conduct molecular, genetic, genomic, bioinformatic and sequencing analyses to generate and analyze datasets.
• Develop analytical workflows for biological data; maintain reproducible records.
• Mentor graduate students and lab personnel; contribute to training in molecular, genomic, and computational techniques.
• Prepare manuscripts and present findings at conferences and seminars.
• Collaborate on grants and publications; contribute to lab organization and data management.

Skills

Communication skills

Mentoring

Independent research

Education

PhD in Genetics, Genomics, Molecular Biology, Evolutionary Biology, Computational Biology, Bioinformatics, or related

Tools

CRISPR/Cas9

Bioinformatics pipelines

Job description

Texas A&M University in College Station seeks a Postdoctoral Research Associate to investigate the genetic basis of phenotypic variation using Drosophila as a model. The role involves leading independent research, integrating molecular biology, genomics, and computational biology, and mentoring students within a collaborative lab environment.

Responsibilities include developing analytical workflows, analyzing sequencing data, and contributing to publications and conferences.