Note: The job is a remote job and is open to candidates in USA. Rice University is seeking a Postdoctoral Research Associate to join the Hennelly Lab in the Department of Biosciences. The role focuses on analyzing modern and historical genomic datasets to study hybridization, evolution, and conservation in mammalian systems, while contributing to publications, mentoring, permitting, and collaborative research activities.
Responsibilities
- Design and conduct research in evolutionary and population genomics analyses using large whole genome datasets
- Analyze genomic datasets (inferring local ancestry, population structure, phylogenomics, patterns of hybridization), data interpretation, prepare manuscripts for peer-reviewed publications, and present research findings at scientific conferences and seminars
- Opportunities to mentor and/or train junior research team members, including undergraduate and graduate students in computational and genomic research methods
- Assist with coordination of permitting procedures and logistics of sample collection
- Contribute to a collaborative and supportive environment and ongoing research activities in the lab
Skills
- Ph.D. in evolutionary biology, genomics, ecology, genetics, or related field by the start date
- Research background in population genomics, evolutionary genomics, conservation genomics, or related field
- Knowledge of analyzing large-scale genomic datasets
- Proficiency with computational and bioinformatic approaches for genomic data analysis, such as using R, slurm, on a Linux/Unix computing cluster
- Knowledge of population genetic and evolutionary theory and its application to genomic data
- Strong organizational and data-management skills
- Excellent written and verbal communication skills, including ability to communicate research findings through scientific publications and presentations
- Ability to work independently and collaboratively while contributing to a supportive, interactive research environment
- Experience or interested in learning data analysis of degraded DNA genomic datasets from museum specimens, experience conducting analyses to study hybridization, introgression, and inferring demographic histories
Benefits
- The position is designed to support the candidate’s professional development through opportunities in scientific publishing, grant writing, student mentorship, and scientific outreach.
- Flexibility of hybrid or fully remote work; fully remote eligibility is limited to residents of approved states.
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