Postdoctoral Scientist - Marine Biomedical Discovery

Job Details

• Lead research projects in comparative genomics of exceptionally short- and long-lived species.
• Generate comparative resources through sequencing, assembly, and annotation of diverse genomes using modern bioinformatic tools.
• Use existing phylogenetic analytical tools and develop novel ones when necessary to glean evolutionary insights into the regulation of lifespan from diverse ‘omics’ data.
• Curate diverse biological datasets to form the basis of meta-analyses to identify shared signals underlying the evolution of lifespan.
• Develop evolutionary signals underlying lifespan variation into genetic interventions to evaluate their effect on aging and healthspan in zebrafish.
• Develop and apply assays to measure and quantify biological aging in zebrafish, including methylation clocks, histology, and compound neuro-muscular functionality.
• Contribute the generation and maintenance of transgenic zebrafish lines, including microinjection, mutant screening, and genotyping.
• Analyze experimental data with high proficiency using appropriate bioinformatic and statistical approaches.
• Lead the publication of results in peer-reviewed scientific journals and present research findings at scientific conferences.
• Contribute to grant proposals, institutional fund-raising activities and community outreach activities.
• Mentor interns and research staff as needed.

Requirements

The ideal candidate will have strong leadership skills, excellent communication skills and the ability to work with a multi-disciplinary team of collaborators. This is an extraordinary opportunity for a dynamic and motivated scientist to learn a powerful genetic model and advance aging research in an entrepreneurial and exciting work environment.

• PhD in molecular/cell biology, bioinformatics, or a related field, with particular emphasis on phylogenetics.
• Experience with standard molecular biology techniques such as DNA/RNA isolation, PCR/qPCR, molecular cloning and CRISPR gene editing.
• Experience generating and analyzing ‘omics data with particular expertise in analyzing non-model species.
• Strong computational skills and experience with standard bioinformatic and statistic software packages.
• Proficient with the Linux environment and knowledge in command line interface, writing shell scripts, and applying scripts of commonly used languages for biological data analysis (i.e. Python, R)
• Strong publication record representing innovative, high-quality research.
• Experience working with aquatic models is desirable.
• Experience with methylation clocks is desirable.
• Excellent communication and teamwork skills.
• Demonstrated record of leadership, integrity and flexibility.
• Enthusiasm and commitment to GMGI’s mission for science and education.

Contact Information

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