Job Details

Post Doc Research Assoc in Evolutionary & Systems Biology of Plants

Position Number: 6393884
Location: Lubbock, TX
Position Type: Agriculture - Plant and Soil Science

Post Doc Research Assoc in Evolutionary & Systems Biology of Plants
Lubbock
41684BR
Plant and Soil Science

Position Description
Performs specialized Post Doctoral work in the planning, conducting and/or supervision of original research. Responsible for participating in a research project associated with PhD studies and the interpretation of the results of publication. Work is performed under supervision of graduate faculty members with evaluation based on accomplishment of assigned objectives and overall effectiveness of project. May supervise research and student assistants.

The initial appointment is for one year, renewable based on performance and project continuation.

Competitive salary and benefits, commensurate with qualifications and experience.

Opportunities for professional development and industry interaction.

Major/Essential Functions
We invite applications for a full-time Postdoctoral Research Associate to support research in evolutionary biology, molecular and systems biology, and functional genomics of plants and microalgae. This position is available immediately and is renewable annually, contingent upon satisfactory performance and funding availability.
The successful candidate will join a multidisciplinary research program focused on understanding the evolution and plasticity of gene/genome architecture, and the diverse molecular mechanisms regulating gene expression across green lineage organisms. Using integrative omics-based approaches, emphasis will be placed on alternative gene regulatory strategies, such as polycistrons, non-canonical promoters, UTR architecture, alternative splicing, RNA stability, and epigenetic control.
Key Responsibilities:
Conduct research exploring gene architecture, transcriptional regulation, and alternative expression control mechanisms in plants and microalgae.
Conduct functional validation through genetic transformation and gene editing of plants and microalgae.
Lead and participate in de novo genome sequencing, assembly, and functional annotation projects.
Analyze and integrate large-scale multi-omics datasets (genomics, transcriptomics, metabolomics, epigenomics) to model gene regulation and expression dynamics.
Develop and maintain robust databases for organizing and visualizing sequencing and gene architecture data.
Collaborate closely with computational biologists, molecular biologists, and biotechnologists.
Analyze data, prepare reports, and contribute to publications and patents.
Contribute to scientific writing (manuscripts, reports), presentations, and mentoring of graduate and undergraduate students.

Required Qualifications
PhD in area of project specialization. Knowledge of modern research practices, the methods, resources, and standards thereof. Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities. Ability to integrate resources, policies, and information for the determination of procedures, solutions and other outcomes. Ability to establish and maintain effective work relationships with other employees and the public. Ability to plan and allocate the workload of employees, providing direct training and supervision as needed.

Preferred Qualifications
Ph.D. in Molecular Biology, Plant Biology, Microbiology, Evolutionary Biology, Systems Biology, or related fields.
Demonstrated experience in genetic transformation and gene editing in microalgae and plants.
Experience with genome sequencing (short/long read), assembly, and annotation.
Experience in programming/scripting languages such as Python, R, or Bash for data analysis and visualization.
Strong analytical and problem-solving skills.
Excellent written and oral communication skills.
Experience working with diverse microalgae or plant species.
Skills in comparative genomics, regulatory network modeling, and functional annotation pipelines.
Proficiency in handling and analyzing large-scale sequencing datasets.

Special Instructions to Applicant
Required Attachments:

A cover letter outlining your research interests and qualifications for this position.
CV including a list of publications, and past and current positions.
Contact information for three professional references.

For further inquiries or questions related to posting, please contact
Damar Lopez-Arredondo,
Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST),
Department of Plant & Soil Science,
TEXAS TECH UNIVERSITY, Lubbock, TX, 79409
Email: Damar.Lopez-Arredondo@ttu.edu

Minimum Hire Rate

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.