We are seeking a highly motivated and collaborative individual to lead an undergraduate research initiative focused on the genomic basis of complex trait development and evolution. This role is part of the Freshman Research Initiative (FRI) and specifically the EvoDevOmics research group. For more information, visit Young Lab (https://sites.utexas.edu/beccayoungevodevolab/) and FRI EvoDevOmics (https://fri.cns.utexas.edu/research-streams/evodevomics).
The ideal candidate will have a strong background in evolutionary, developmental, or organismal biology and experience with next-generation sequencing (NGS) data analysis. They should be capable of training undergraduate students in computational techniques and eager to contribute to a hands-on, experiential learning environment.
This position offers a unique opportunity to assume a leadership role while fostering professional growth, encouraging scientific inquiry, and contributing to research aimed at uncovering the genomic mechanisms behind the origin and evolution of complex traits.
Responsibilities
Develop and pursue novel research questions and approaches toward understanding the developmental and evolutionary origins of complex traits with undergraduate and graduate researchers
Organize, train, and mentor undergraduate researchers associated with the Freshman Research Initiative’s EvoDevOmics research group
Dissemination of results to scientists and the general public via software code and tools, publications, reports, and presentations
Qualifications
- PhD in a relevant field
- R programming and multivariate statistics including experience with large datasets
- Demonstrated interest in mentoring and training undergraduate researchers
- A track record of documented productivity including publishing in scientific journals
- Excellent communication skills
- Excellent organizational and problem-solving skills
- Strong work ethic and ability to plan, prioritize, and multitask
- Ability to work with others and a strong commitment to maintain an environment of respect and professionalism
- Preference will be given to candidates with significant experience in undergraduate research mentoring and experience in bioinformatics, evolution, and molecular biology instruction
Apply here
